{"title":"Neural networks \u0026 fuzzy systems","description":"Books on the subject of Neural networks \u0026amp; fuzzy systems","products":[{"product_id":"introduction-to-eeg-and-speech-based-emotion-recognition-paperback-9780128044902","title":"Introduction to EEG- and Speech-Based Emotion Recognition (Paperback) 9780128044902","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eIntroduction to EEG- and Speech-Based Emotion Recognition\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cp\u003eA reference on EEG methods for recording and analyzing emotion recognition, brain rhythm, and speech processing\u003c\/p\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003ePriyanka A. Abhang (Author), Bharti W. Gawali (Author), Suresh C. Mehrotra (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780128044902, Elsevier Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback, published 22 March 2016\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e198 pages\u003cbr\u003e23.4 x 19 x 1.4 cm, 0.41 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003ci\u003eIntroduction to EEG- and Speech-Based Emotion Recognition Methods\u003c\/i\u003e examines the background, methods, and utility of using electroencephalograms (EEGs) to detect and recognize different emotions. By incorporating these methods in brain-computer interface (BCI), we can achieve more natural, efficient communication between humans and computers. This book discusses how emotional states can be recognized in EEG images, and how this is useful for BCI applications. EEG and speech processing methods are explored, as are the technological basics of how to operate and record EEGs. Finally, the authors include information on EEG-based emotion recognition, classification, and a proposed EEG\/speech fusion method for how to most accurately detect emotional states in EEG recordings.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e1. Introduction to Emotion, Electroencephalography and Speech Processing\u003c\/p\u003e \u003cp\u003e2. Technological Basics of EEG Recording and Operation of Apparatus\u003c\/p\u003e \u003cp\u003e3. Technical Aspects of Brain Rhythms and Speech Parameters\u003c\/p\u003e \u003cp\u003e4. Time and Frequency Analysis\u003c\/p\u003e \u003cp\u003e5. Emotion Recognition\u003c\/p\u003e \u003cp\u003e6. Multimodal Emotion Recognition\u003c\/p\u003e \u003cp\u003e7. Proposed EEG – Speech Based Emotion Recognition System:  A CASE STUDY\u003c\/p\u003e \u003cp\u003e8. BCI and its Applications\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Neural networks \u0026amp; fuzzy systems [\u003ca title=\"See our other books on Neural networks \u0026amp; fuzzy systems\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Neural%20networks%20\u0026amp;%20fuzzy%20systems%20%5BUYQN%5D%22\"\u003eUYQN\u003c\/a\u003e], Neurosciences [\u003ca title=\"See our other books on Neurosciences\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Neurosciences%20%5BPSAN%5D%22\"\u003ePSAN\u003c\/a\u003e], Physiology [\u003ca title=\"See our other books on Physiology\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Physiology%20%5BMFG%5D%22\"\u003eMFG\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Academic Press","offers":[{"title":"Default Title","offer_id":46648875712792,"sku":"9780128044902","price":59.77,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780128044902.jpg?v=1694094727"},{"product_id":"machine-dreaming-and-consciousness-paperback-9780128037201","title":"Machine Dreaming and Consciousness (Paperback) 9780128037201","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eMachine Dreaming and Consciousness\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cp\u003eThe only book available that fully explores the possibility for and implications of dreaming by artificial intelligence (AI) systems\u003c\/p\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eJ. F. Pagel (Author), Philip Kirshtein (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780128037201\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback, published 26 April 2017\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e230 pages\u003cbr\u003e22.9 x 15.1 x 1.6 cm, 0.39 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eApprox.220 pages\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003cb\u003eSection I: Machine Dreaming and Consciousness—The Human Perspective\u003c\/b\u003e1. Dreaming: The Human Perspective2. The Mechanics of Human Consciousness3. Animal Dreaming - Animal Consciousness4. Testing for Machine Consciousness\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection II: Machine Dream Equivalents\u003c\/b\u003e5. Sleep Modes6. Neural Networks: The Hard and Software Logic7. Filmmaking: Creating Artificial Dreams at the Interface8.The Cyborg at the Dream Interface9. Interpreting the AI Dream10. Creating the Perfect Zombie\u003c\/p\u003e \u003cp\u003e\u003cb\u003eSection III: The Philosophy of Machine Dreaming\u003c\/b\u003e11. Anthropomorphism: Philosophies of AI Dreaming and Consciousness12. Searching for Dreams in Other (Stranger) Places13. Machine Consciousness14. Forms of Machine Dreaming15. The Antropomorphic Dream Machine\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Neural networks \u0026amp; fuzzy systems [\u003ca title=\"See our other books on Neural networks \u0026amp; fuzzy systems\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Neural%20networks%20\u0026amp;%20fuzzy%20systems%20%5BUYQN%5D%22\"\u003eUYQN\u003c\/a\u003e], Neurosciences [\u003ca title=\"See our other books on Neurosciences\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Neurosciences%20%5BPSAN%5D%22\"\u003ePSAN\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Freshly Printed Books","offers":[{"title":"Default Title","offer_id":46649009439000,"sku":"9780128037201","price":39.66,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780128037201.jpg?v=1694096008"},{"product_id":"algorithms-and-architectures-hardback-9780124438613","title":"Algorithms and Architectures (Hardback) 9780124438613","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eAlgorithms and Architectures\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eCornelius T. Leondes (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780124438613\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 9 February 1998\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e460 pages\u003cbr\u003e22.9 x 15.1 x 2.9 cm, 0.84 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eThis volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network systems. It presents techniques and diverse methods in numerous areas of this broad subject. The book covers major neural network systems structures for achieving effective systems, and illustrates them with examples.\u003c\/p\u003e  \u003cp\u003eThis volume includes Radial Basis Function networks, the Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks, weight initialization, fast and efficient variants of Hamming and Hopfield neural networks, discrete time synchronous multilevel neural systems with reduced VLSI demands, probabilistic design techniques, time-based techniques, techniques for reducing physical realization requirements, and applications to finite constraint problems.\u003c\/p\u003e  \u003cp\u003eA unique and comprehensive reference for a broad array of algorithms and architectures, this book will be of use to practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003ci\u003eFreeman, Orr, and Saad,\u003c\/i\u003e Statistical Theories of Learning in Radial Basis Function Networks\u003ci\u003eKim, Park, Oh, and Han,\u003c\/i\u003e The Synthesis of Three-Layer Threshold Networks\u003ci\u003eLehtokangas, Salmela, Saarinen, and Kaski,\u003c\/i\u003e Weight Initialization Techniques\u003ci\u003eMeilijson, Ruppin, and Sipper,\u003c\/i\u003e Fast Computation in Hamming and Hopfield Networks\u003ci\u003eSi and Michel,\u003c\/i\u003e Multilevel Neurons\u003ci\u003eWatanabe and Fukumizu,\u003c\/i\u003e Probabilistic Design\u003ci\u003eTom and Tenorio,\u003c\/i\u003e Short Time Memory Problems\u003ci\u003eChung and Tsai,\u003c\/i\u003e Reliability Issue and Quantization Effects in Optical and Electronic Network Implementations of Hebbian-Type Associative Memories\u003ci\u003eMonfroglio,\u003c\/i\u003e Finite Constraint Satisfaction\u003ci\u003eChu,\u003c\/i\u003e Estimating the Dimensions of Manifolds Using Delaunay Diagrams\u003ci\u003eErsoy,\u003c\/i\u003e Parallel, Self-Organizing, Hierarchical Neural Network Systems\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Neural networks \u0026amp; fuzzy systems [\u003ca title=\"See our other books on Neural networks \u0026amp; fuzzy systems\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Neural%20networks%20\u0026amp;%20fuzzy%20systems%20%5BUYQN%5D%22\"\u003eUYQN\u003c\/a\u003e], Artificial intelligence [\u003ca title=\"See our other books on Artificial intelligence\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Artificial%20intelligence%20%5BUYQ%5D%22\"\u003eUYQ\u003c\/a\u003e], Computer architecture \u0026amp; logic design [\u003ca title=\"See our other books on Computer architecture \u0026amp; logic design\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20architecture%20\u0026amp;%20logic%20design%20%5BUYF%5D%22\"\u003eUYF\u003c\/a\u003e], Mathematical theory of computation [\u003ca title=\"See our other books on Mathematical theory of computation\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mathematical%20theory%20of%20computation%20%5BUYA%5D%22\"\u003eUYA\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Freshly Printed Books","offers":[{"title":"Default Title","offer_id":46649062850840,"sku":"9780124438613","price":61.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780124438613.jpg?v=1694096920"},{"product_id":"pattern-recognition-in-industry-hardback-9780080445380","title":"Pattern Recognition in Industry (Hardback) 9780080445380","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003ePattern Recognition in Industry\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003ePhiroz Bhagat (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780080445380, Elsevier Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 30 March 2005\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e200 pages\u003cbr\u003e24 x 16.5 x 2 cm, 0.5 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\"Phiroz Bhagat tackles the important problem of data inundation in this book, and offers innovative strategies using pattern recognition theory in practical applications. There are good ideas here, well worth exploring.\" \u003cb\u003e--Peter Likins President, University of Arizona\u003c\/b\u003e\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cul\u003e\n\u003cli\u003e\"Find it hard to extract and utilise valuable knowledge from the ever-increasing data deluge?\" If so, this book will help, as it explores pattern recognition technology and its concomitant role in extracting useful information to build technical and business models to gain competitive industrial advantage.\u003c\/li\u003e\n\u003cli\u003e*Based on first-hand experience in the practice of pattern recognition technology and its development and deployment for profitable application in Industry.\u003c\/li\u003e\n\u003cli\u003ePhiroz Bhagat is often referred to as the pioneer of neural net and pattern recognition technology, and is uniquely qualified to write this book. He brings more than two decades of experience in the \"real-world\" application of cutting-edge technology for competitive advantage in industry.\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003eTwo wave fronts are upon us today:  we are being bombarded by an enormous amount of data, and we are confronted by continually increasing technical and business advances.\u003c\/p\u003e \u003cp\u003eIdeally, the endless stream of data should be one of our major assets.  However, this potential asset often tends to overwhelm rather than enrich.  Competitive advantage depends on our ability to extract and utilize nuggets of valuable knowledge and insight from this data deluge.  The challenges that need to be overcome include the under-utilization of available data due to competing priorities, and the separate and somewhat disparate existing data systems that have difficulty interacting with each other.\u003c\/p\u003e \u003cp\u003eConventional approaches to formulating models are becoming progressively more expensive in time and effort.  To impart a competitive edge, engineering  science in the 21st century needs to augment traditional modelling processes by auto-classifying and self-organizing data; developing models directly from operating experience, and then optimizing the results to provide effective strategies and operating decisions.  This approach has wide applicability; in areas ranging from manufacturing processes, product performance and scientific research, to financial and business fields.\u003c\/p\u003e \u003cp\u003eThis monograph explores pattern recognition technology, and its concomitant role in extracting useful knowledge to build technical and business models directly from data, and in optimizing the results derived from these models within the context of delivering competitive industrial advantage.  It is not intended to serve as a comprehensive reference source on the subject.  Rather, it is based on first-hand experience in the practice of this technology:  its development and deployment for profitable application in industry.\u003c\/p\u003e   \u003cp\u003eThe technical topics covered in the monograph will focus on the triad of technological areas that constitute the contemporary workhorses of successful industrial application of pattern recognition. These are: systems for self-organising data; data-driven modelling; and genetic algorithms as robust optimizers.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cb\u003ePreface\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e\u003cb\u003eAcknowledgments\u003c\/b\u003e \u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e \u003cbr\u003e\u003cbr\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/font\u003e\u003c\/p\u003e\u003c\/font\u003e\u003ccenter\u003ePart I Philosophy\u003c\/center\u003e\u003cbr\u003e\u003cbr\u003e \u003cbr\u003e\u003cb\u003eCHAPTER 1:\u003c\/b\u003e INTRODUCTION\u003cbr\u003e\u003cbr\u003e\u003cb\u003eCHAPTER 2:\u003c\/b\u003e PATTERNS WITHIN DATA\u003cbr\u003e\u003cbr\u003e\u003cb\u003eCHAPTER 3:\u003c\/b\u003e ADAPTING BIOLOGICAL PRINCIPLES FOR DEPLOYMENT IN COMPUTATIONAL SCIENCE\u003cbr\u003e\u003cbr\u003e\u003cb\u003eCHAPTER 4:\u003c\/b\u003e ISSUES IN PREDICTIVE EMPIRICAL MODELING\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003e\u003c\/b\u003e\u003ccenter\u003ePart II Technology\u003c\/center\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eCHAPTER 5:\u003c\/b\u003e SUPERVISED LEARNING—CORRELATIVE NEURAL NETS\u003cbr\u003e\u003cbr\u003e\u003cb\u003eCHAPTER 6:\u003c\/b\u003e UNSUPERVISED LEARNING: AUTO-CLUSTERING AND SELF-ORGANIZING DATA\u003cbr\u003e\u003cbr\u003e\u003cb\u003eCHAPTER 7:\u003c\/b\u003e CUSTOMIZING FOR INDUSTRIAL STRENGTH APPLICATIONS\u003cbr\u003e\u003cbr\u003e\u003cb\u003eCHAPTER 8:\u003c\/b\u003e CHARACTERIZING AND CLASSIFYING TEXTUAL MATERIAL\u003cbr\u003e\u003cbr\u003e\u003cb\u003eCHAPTER 9:\u003c\/b\u003e PATTERN RECOGNITION IN TIME SERIES ANALYSIS\u003cbr\u003e\u003cbr\u003e\u003cb\u003eCHAPTER 10:\u003c\/b\u003e GENETIC ALGORITHMS\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003e\u003c\/b\u003e\u003ccenter\u003ePart III Case Studies\u003c\/center\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eCHAPTER 11:\u003c\/b\u003e HARNESSING THE TECHNOLOGY FOR PROFITABILITY\u003cbr\u003e\u003cbr\u003e\u003cb\u003eCHAPTER 12:\u003c\/b\u003e REACTOR MODELING THROUGH IN SITU ADAPTIVE LEARNING\u003cbr\u003e\u003cbr\u003e\u003cb\u003eCHAPTER 13:\u003c\/b\u003e PREDICTING PLANT STACK EMISSIONS TO MEET ENVIRONMENTAL LIMITS\u003cbr\u003e\u003cbr\u003e\u003cb\u003eCHAPTER 14:\u003c\/b\u003e PREDICTING FOULING\/COKING IN FIRED HEATERS\u003cbr\u003e\u003cbr\u003e\u003cb\u003eCHAPTER 15:\u003c\/b\u003e PREDICTING OPERATIONAL CREDITS\u003cbr\u003e\u003cbr\u003e\u003cb\u003eCHAPTER 16:\u003c\/b\u003e PILOT PLANT SCALE-UP BY INTERPRETING TRACER DIAGNOSTICS\u003cbr\u003e\u003cbr\u003e\u003cb\u003eCHAPTER 17:\u003c\/b\u003e PREDICTING DISTILLATION TOWER TEMPERATURES: MINING DATA FOR CAPTURING DISTINCT OPERATIONAL VARIABILITY\u003cbr\u003e\u003cbr\u003e\u003cb\u003eCHAPTER 18:\u003c\/b\u003e ENABLING NEW PROCESS DESIGN BASED ON LABORATORY DATA\u003cbr\u003e\u003cbr\u003e\u003cb\u003eCHAPTER 19:\u003c\/b\u003e FORECASTING PRICE CHANGES OF A COMPOSITE BASKET OF COMMODITIES\u003cbr\u003e\u003cbr\u003e\u003cb\u003eCHAPTER 20:\u003c\/b\u003e CORPORATE DEMOGRAPHIC TREND ANALYSIS\u003cbr\u003e\u003cbr\u003e\u003cb\u003eEPILOGUE\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003ccenter\u003e\u003cb\u003eAppendices\u003c\/b\u003e\u003c\/center\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAPPENDIX A1:\u003c\/b\u003e THERMODYNAMICS AND INFORMATION THEORY\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAPPENDIX A2:\u003c\/b\u003e MODELING\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Computer vision [\u003ca title=\"See our other books on Computer vision\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20vision%20%5BUYQV%5D%22\"\u003eUYQV\u003c\/a\u003e], Neural networks \u0026amp; fuzzy systems [\u003ca title=\"See our other books on Neural networks \u0026amp; fuzzy systems\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Neural%20networks%20\u0026amp;%20fuzzy%20systems%20%5BUYQN%5D%22\"\u003eUYQN\u003c\/a\u003e], Energy technology \u0026amp; engineering [\u003ca title=\"See our other books on Energy technology \u0026amp; engineering\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Energy%20technology%20\u0026amp;%20engineering%20%5BTH%5D%22\"\u003eTH\u003c\/a\u003e], Economics of industrial organisation [\u003ca title=\"See our other books on Economics of industrial organisation\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Economics%20of%20industrial%20organisation%20%5BKCD%5D%22\"\u003eKCD\u003c\/a\u003e], Cybernetics \u0026amp; systems theory [\u003ca title=\"See our other books on Cybernetics \u0026amp; systems theory\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Cybernetics%20\u0026amp;%20systems%20theory%20%5BGPFC%5D%22\"\u003eGPFC\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n","brand":"Elsevier Science","offers":[{"title":"Default Title","offer_id":46649093816600,"sku":"9780080445380","price":55.89,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780080445380_9e2fdfa0-5d26-4362-b19f-4a7fa1f71e9d.jpg?v=1695003996"},{"product_id":"calculus-of-thought-neuromorphic-logistic-regression-in-cognitive-machines-hardback-9780124104075","title":"Calculus of Thought; Neuromorphic Logistic Regression in Cognitive Machines (Hardback) 9780124104075","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eCalculus of Thought\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eNeuromorphic Logistic Regression in Cognitive Machines\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003e\u003cp\u003eA must read for all scientists about a very simple computation method designed to simulate big data neural processing\u003c\/p\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eDaniel M Rice (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780124104075\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 17 December 2013\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e272 pages, Illustrated\u003cbr\u003e22.9 x 15.1 x 2.2 cm, 0.51 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\"…Rice argues that cognitive machines will need to be neuromorphic, that is, based upon neuroscience, in order to simulate aspects of human cognition. He sets out the most fundamental and important concepts in modern cognitive neuroscience, including neural dynamics, implicit and explicit learning, neural synchrony, Hebbian spike-timing dependent plasticity, and neural Darwinism.\" --\u003cb\u003eProtoView.com, February 2014\u003c\/b\u003e\u003c\/p\u003e\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eApprox.256 pages\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePreface: A Personal Perspective1. Calculus Ratiocinator2. Most Likely Inference3. Conditional Probability Learning4. Causal Reasoning5. Neural Calculus6. Oscillating Neural Synchrony7. Neural Natural Selection and Alzheimer’s Disease8. Let Us CalculateAppendix One: The RELR FormulationAppendix Two: The 2004 Election Weekend Survey Model\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Neural networks \u0026amp; fuzzy systems [\u003ca title=\"See our other books on Neural networks \u0026amp; fuzzy systems\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Neural%20networks%20\u0026amp;%20fuzzy%20systems%20%5BUYQN%5D%22\"\u003eUYQN\u003c\/a\u003e], Neurosciences [\u003ca title=\"See our other books on Neurosciences\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Neurosciences%20%5BPSAN%5D%22\"\u003ePSAN\u003c\/a\u003e], Calculus \u0026amp; mathematical analysis [\u003ca title=\"See our other books on Calculus \u0026amp; mathematical analysis\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Calculus%20\u0026amp;%20mathematical%20analysis%20%5BPBK%5D%22\"\u003ePBK\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Freshly Printed Books","offers":[{"title":"Default Title","offer_id":46649401573656,"sku":"9780124104075","price":37.59,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780124104075.jpg?v=1694100764"},{"product_id":"implementation-techniques-hardback-9780124438637","title":"Implementation Techniques (Hardback) 9780124438637","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eImplementation Techniques\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cfont size=\"4\"\u003eCornelius T. Leondes (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780124438637\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 9 February 1998\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e401 pages\u003cbr\u003e22.9 x 15.1 x 2.6 cm, 0.75 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\"....this book would make a valuable addition to most libraries(personal or institutional)....\"\"...its depth and breadth and leading edge flavor will of of interest to many neural network engineers.\" \u003cb\u003e--Dan Simon, Innovatia Software, CONTROL ENGINEERING PRACTICE, Issue 7, 1999\u003c\/b\u003e\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eThis volume covers practical and effective implementation techniques, including recurrent methods, Boltzmann machines, constructive learning with methods for the reduction of complexity in neural network systems, modular systems, associative memory, neural network design based on the concept of the Inductive Logic Unit, and a comprehensive treatment of implementations in the area of data classification. Numerous examples enhance the text. Practitioners, researchers,and students in engineering and computer science will find \u003ci\u003eImplementation Techniques\u003c\/i\u003e a comprehensive and powerful reference.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003ci\u003eBianchini, Frasconi, Gori, and Maggini,\u003c\/i\u003e Optimal Learning in Artificial Neural Networks: A Theoretical View. \u003ci\u003eKanjilal,\u003c\/i\u003e Orthogonal Transformation Techniques in the Optimization of Feedforward Neural Network Systems. \u003ci\u003eMuseli,\u003c\/i\u003e Sequential Constructive Techniques. \u003ci\u003eYu, Xu, and Wang,\u003c\/i\u003e Fast Backpropagation Training Using Optimal Learning Rate and Momentum. \u003ci\u003eAngulo and Torras,\u003c\/i\u003e Learning of Nonstationary Processes. \u003ci\u003eSchaller,\u003c\/i\u003e Constraint Satisfaction Problems. \u003ci\u003eYang and Chen,\u003c\/i\u003e Dominant Neuron Techniques. \u003ci\u003eLin, Chiang, and Kim,\u003c\/i\u003e CMAC-based Techniques for Adaptive Learning Control. \u003ci\u003eDeco,\u003c\/i\u003e Information Dynamics and Neural Techniques for Data Analysis. \u003ci\u003eGorinevsky,\u003c\/i\u003e Radial Basis Function Network Approximation and Learning in Task-Dependent Feedforward Control of Nonlinear Dynamical Systems.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Neural networks \u0026amp; fuzzy systems [\u003ca title=\"See our other books on Neural networks \u0026amp; fuzzy systems\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Neural%20networks%20\u0026amp;%20fuzzy%20systems%20%5BUYQN%5D%22\"\u003eUYQN\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Freshly Printed Books","offers":[{"title":"Default Title","offer_id":46649423003928,"sku":"9780124438637","price":57.29,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780124438637.jpg?v=1694100895"},{"product_id":"artificial-neural-network-for-drug-design-delivery-and-disposition-hardback-9780128015599","title":"Artificial Neural Network for Drug Design, Delivery and Disposition (Hardback) 9780128015599","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eArtificial Neural Network for Drug Design, Delivery and Disposition\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003e\u003cp\u003eThis book provides a pioneer reference devoted to the Artificial Neural Network (ANN) in drug discovery, delivery, and disposition that contains valuable insights and applications to pharmaceutical and biomedical research. It is an essential resource for both academic and industry researchers. \u003c\/p\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eMunish Puri (Author), Yashwant Pathak (Author), Vijay Kumar Sutariya (Author), Srinivas Tipparaju (Author), Wilfrido Moreno (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780128015599\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 27 October 2015\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e440 pages, 100 illustrations\u003cbr\u003e23.4 x 19 x 2.8 cm, 1.06 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eApprox.416 pages\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePart I – Basics of ANN: Concept and Strategy in Drug DesignPart II – Basics and Application of ANN in Drug DiscoveryPart III – ANN in Drug DeliveryPart IV – ANN in Drug DispositionPart V – ANN in Various Applications in Medicine\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Neural networks \u0026amp; fuzzy systems [\u003ca title=\"See our other books on Neural networks \u0026amp; fuzzy systems\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Neural%20networks%20\u0026amp;%20fuzzy%20systems%20%5BUYQN%5D%22\"\u003eUYQN\u003c\/a\u003e], Pharmacology [\u003ca title=\"See our other books on Pharmacology\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Pharmacology%20%5BMMG%5D%22\"\u003eMMG\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Freshly Printed Books","offers":[{"title":"Default Title","offer_id":46649470222616,"sku":"9780128015599","price":99.75,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780128015599.jpg?v=1694101112"},{"product_id":"discrete-time-neural-observers-analysis-and-applications-paperback-9780128105436","title":"Discrete-Time Neural Observers; Analysis and Applications (Paperback) 9780128105436","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eDiscrete-Time Neural Observers\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eAnalysis and Applications\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003e\u003cp\u003ePresents advances in the theory of neural state estimation for discrete-time unknown nonlinear systems with multiple inputs and outputs\u003c\/p\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eAlma Y Alanis (Author), Edgar N. 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In addition, for each chapter, simulation results are included to verify the successful performance of the corresponding proposed schemes. \u003c\/p\u003e  \u003cp\u003eIn order to complete the treatment of these schemes, the authors also present simulation and experimental results related to their application in meaningful areas, such as electric three phase induction motors and anaerobic process, which show the applicability of such designs. The proposed schemes can be employed for different applications beyond those presented. \u003c\/p\u003e  \u003cp\u003eThe book presents solutions for the state estimation problem of unknown nonlinear systems based on two schemes. For the first one, a full state estimation problem is considered; the second one considers the reduced order case with, and without, the presence of unknown delays. Both schemes are developed in discrete-time using recurrent high order neural networks in order to design the neural observers, and the online training of the respective neural networks is performed by Kalman Filtering. \u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e1. Introduction2. Mathematical Preliminaries3. Full order neural observers4. Reduced order neural observers5. Neural observers with unknown time delays6. Final Remarks\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Computer vision [\u003ca title=\"See our other books on Computer vision\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20vision%20%5BUYQV%5D%22\"\u003eUYQV\u003c\/a\u003e], Neural networks \u0026amp; fuzzy systems [\u003ca title=\"See our other books on Neural networks \u0026amp; fuzzy systems\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Neural%20networks%20\u0026amp;%20fuzzy%20systems%20%5BUYQN%5D%22\"\u003eUYQN\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Freshly Printed Books","offers":[{"title":"Default Title","offer_id":46649771458840,"sku":"9780128105436","price":93.19,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780128105436.jpg?v=1694103383"},{"product_id":"deep-network-design-for-medical-image-computing-principles-and-applications-paperback-9780128243831","title":"Deep Network Design for Medical Image Computing; Principles and Applications (Paperback) 9780128243831","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eDeep Network Design for Medical Image Computing\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003ePrinciples and Applications\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003eHelps readers deep learning design methods specifically developed to solve medical problems\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eHaofu Liao (Author), S. Kevin Zhou (Author), Jiebo Luo (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780128243831, Elsevier Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback, published 30 August 2022\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e264 pages, 75 illustrations (30 in full color)\u003cbr\u003e23.5 x 19 x 1.8 cm, 0.52 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003ci\u003eDeep Network Design for Medical Image Computing: Principles and Applications\u003c\/i\u003e covers a range of MIC tasks and discusses design principles of these tasks for deep learning approaches in medicine. These include skin disease classification, vertebrae identification and localization, cardiac ultrasound image segmentation, 2D\/3D medical image registration for intervention, metal artifact reduction, sparse-view artifact reduction, etc. For each topic, the book provides a deep learning-based solution that takes into account the medical or biological aspect of the problem and how the solution addresses a variety of important questions surrounding architecture, the design of deep learning techniques, when to introduce adversarial learning, and more. \u003c\/p\u003e  \u003cp\u003eThis book will help graduate students and researchers develop a better understanding of the deep learning design principles for MIC and to apply them to their medical problems.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e1. Introduction\u003cbr\u003e2. Deep Learning Basics\u003cbr\u003e3. Classification: Lesion and Disease Recognition\u003cbr\u003e4. Detection: Vertebrae Localization and Identification\u003cbr\u003e5. Segmentation: Intracardiac Echocardiography Contouring\u003cbr\u003e6. Registration: 2D\/3D Medical Image Registration\u003cbr\u003e7. Reconstruction: Supervised Artifact Reduction\u003cbr\u003e8. Reconstruction: Unsupervised Artifact Reduction\u003cbr\u003e9. Synthesis: Novel View Synthesis\u003cbr\u003e10. Challenges and Future Directions\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Computer vision [\u003ca title=\"See our other books on Computer vision\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20vision%20%5BUYQV%5D%22\"\u003eUYQV\u003c\/a\u003e], Neural networks \u0026amp; fuzzy systems [\u003ca title=\"See our other books on Neural networks \u0026amp; fuzzy systems\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Neural%20networks%20\u0026amp;%20fuzzy%20systems%20%5BUYQN%5D%22\"\u003eUYQN\u003c\/a\u003e], Machine learning [\u003ca title=\"See our other books on Machine learning\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Machine%20learning%20%5BUYQM%5D%22\"\u003eUYQM\u003c\/a\u003e], Artificial intelligence [\u003ca title=\"See our other books on Artificial intelligence\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Artificial%20intelligence%20%5BUYQ%5D%22\"\u003eUYQ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Academic Press","offers":[{"title":"Default Title","offer_id":46650405388568,"sku":"9780128243831","price":69.28,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780128243831.jpg?v=1694108352"},{"product_id":"deep-learning-for-robot-perception-and-cognition-paperback-9780323857871","title":"Deep Learning for Robot Perception and Cognition (Paperback \/ softback) 9780323857871","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eDeep Learning for Robot Perception and Cognition\u003c\/font\u003e\u003cbr\u003e\r\n\r\n\r\n\u003c\/p\u003e\n\u003cp\u003e\u003cem\u003eTeaches readers how to apply deep learning principles to robot vision and perception\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eAlexandros Iosifidis (Edited by), Anastasios Tefas (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780323857871, Elsevier Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 10 March 2022\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e634 pages, 55 illustrations (15 in full color)\u003cbr\u003e23.5 x 19 x 3.9 cm, 1.31 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003ci\u003eDeep Learning for Robot Perception and Cognition\u003c\/i\u003e introduces a broad range of topics and methods in deep learning for robot perception and cognition together with end-to-end methodologies. The book provides the conceptual and mathematical background needed for approaching a large number of robot perception and cognition tasks from an end-to-end learning point-of-view. The book is suitable for students, university and industry researchers and practitioners in Robotic Vision, Intelligent Control, Mechatronics, Deep Learning, Robotic Perception and Cognition tasks.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e1. Introduction 2. Neural Networks and Backpropagation 3. Convolutional Neural Networks 4. Graph Convolutional Networks 5. Recurrent Neural Networks 6. Deep Reinforcement Learning 7. Lightweight Deep Learning 8. Knowledge Distillation 9. Progressive and Compressive Deep Learning 10. Representation Learning and Retrieval 11. Object Detection and Tracking 12. Semantic Scene Segmentation for Robotics 13. 3D Object Detection and Tracking 14. Human Activity Recognition 15. Deep Learning for Vision-based Navigation in Autonomous Drone Racing 16. Robotic Grasping in Agile Production 17. Deep learning in Multiagent Systems 18. Simulation Environments 19. Biosignal time-series analysis 20. Medical Image Analysis 21. Deep learning for robotics examples using OpenDR \u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Neural networks \u0026amp; fuzzy systems [\u003ca title=\"See our other books on Neural networks \u0026amp; fuzzy systems\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Neural%20networks%20\u0026amp;%20fuzzy%20systems%20%5BUYQN%5D%22\"\u003eUYQN\u003c\/a\u003e], Artificial intelligence [\u003ca title=\"See our other books on Artificial intelligence\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Artificial%20intelligence%20%5BUYQ%5D%22\"\u003eUYQ\u003c\/a\u003e], Robotics [\u003ca title=\"See our other books on Robotics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Robotics%20%5BTJFM1%5D%22\"\u003eTJFM1\u003c\/a\u003e], Automatic control engineering [\u003ca title=\"See our other books on Automatic control engineering\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Automatic%20control%20engineering%20%5BTJFM%5D%22\"\u003eTJFM\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Academic Press","offers":[{"title":"Default Title","offer_id":46650834518296,"sku":"9780323857871","price":99.95,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780323857871.jpg?v=1694992310"},{"product_id":"machine-learning-a-constraint-based-approach-paperback-9780323898591","title":"Machine Learning; A Constraint-Based Approach (Paperback \/ softback) 9780323898591","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eMachine Learning\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eA Constraint-Based Approach\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003eProvides a focused approach to our understanding of some of the deep ideas surrounding machine learning\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eMarco Gori (Author), Alessandro Betti (Author), Stefano Melacci (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780323898591, Elsevier Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 5 April 2023\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e560 pages\u003cbr\u003e22.9 x 15.2 x 4.1 cm, 1.1 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003ci\u003eMachine Learning: A Constraint-Based Approach, Second Edition\u003c\/i\u003e provides readers with a refreshing look at the basic models and algorithms of machine learning, with an emphasis on current topics of interest that include neural networks and kernel machines. The book presents the information in a truly unified manner that is based on the notion of learning from environmental constraints. It draws a path towards deep integration with machine learning that relies on the idea of adopting multivalued logic formalisms, such as in fuzzy systems. Special attention is given to deep learning, which nicely fits the constrained-based approach followed in this book.\u003cbr\u003e\u003cbr\u003eThe book presents a simpler unified notion of regularization, which is strictly connected with the parsimony principle, including many solved exercises that are classified according to the Donald Knuth ranking of difficulty, which essentially consists of a mix of warm-up exercises that lead to deeper research problems. A software simulator is also included.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e1. The Big Picture 2. Learning Principles 3. Linear-Threshold Machines 4. Kernel Machines 5. Deep Architectures 6. Learning from Constraints 7. Epilogue 8. Answers to selected exercises\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Computer vision [\u003ca title=\"See our other books on Computer vision\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20vision%20%5BUYQV%5D%22\"\u003eUYQV\u003c\/a\u003e], Neural networks \u0026amp; fuzzy systems [\u003ca title=\"See our other books on Neural networks \u0026amp; fuzzy systems\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Neural%20networks%20\u0026amp;%20fuzzy%20systems%20%5BUYQN%5D%22\"\u003eUYQN\u003c\/a\u003e], Machine learning [\u003ca title=\"See our other books on Machine learning\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Machine%20learning%20%5BUYQM%5D%22\"\u003eUYQM\u003c\/a\u003e], Expert systems \/ knowledge-based systems [\u003ca title=\"See our other books on Expert systems \/ knowledge-based systems\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Expert%20systems%20\/%20knowledge-based%20systems%20%5BUYQE%5D%22\"\u003eUYQE\u003c\/a\u003e], Artificial intelligence [\u003ca title=\"See our other books on Artificial intelligence\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Artificial%20intelligence%20%5BUYQ%5D%22\"\u003eUYQ\u003c\/a\u003e], Computer science [\u003ca title=\"See our other books on Computer science\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20science%20%5BUY%5D%22\"\u003eUY\u003c\/a\u003e], Databases [\u003ca title=\"See our other books on Databases\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Databases%20%5BUN%5D%22\"\u003eUN\u003c\/a\u003e], Algorithms \u0026amp; data structures [\u003ca title=\"See our other books on Algorithms \u0026amp; data structures\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Algorithms%20\u0026amp;%20data%20structures%20%5BUMB%5D%22\"\u003eUMB\u003c\/a\u003e], Discrete mathematics [\u003ca title=\"See our other books on Discrete mathematics\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Discrete%20mathematics%20%5BPBD%5D%22\"\u003ePBD\u003c\/a\u003e], Library, archive \u0026amp; information management [\u003ca title=\"See our other books on Library, archive \u0026amp; information management\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Library,%20archive%20\u0026amp;%20information%20management%20%5BGLC%5D%22\"\u003eGLC\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Morgan Kaufmann","offers":[{"title":"Default Title","offer_id":46650898284824,"sku":"9780323898591","price":68.85,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780323898591_3f0811b6-fc63-40d6-ae65-4bad4858f8a7.jpg?v=1694993199"},{"product_id":"meta-learning-theory-algorithms-and-applications-paperback-9780323899314","title":"Meta-Learning; Theory, Algorithms and Applications (Paperback \/ softback) 9780323899314","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eMeta-Learning\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eTheory, Algorithms and Applications\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003eCovers state-of-the-art methods and algorithms in the important and emerging topic of meta-learning\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eLan Zou (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780323899314, Elsevier Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 8 November 2022\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e402 pages\u003cbr\u003e23.5 x 19 x 2.6 cm, 0.81 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003eDeep neural networks (DNNs) with their dense and complex algorithms provide real possibilities for Artificial General Intelligence (AGI). Meta-learning with DNNs brings AGI much closer: artificial agents solving intelligent tasks that human beings can achieve, even transcending what they can achieve. Meta-Learning: Theory, Algorithms and Applications shows how meta-learning in combination with DNNs advances towards AGI.\u003c\/p\u003e  \u003cp\u003e\u003ci\u003eMeta-Learning: Theory, Algorithms and Applications \u003c\/i\u003eexplains the fundamentals of meta-learning by providing answers to these questions: What is meta-learning?; why do we need meta-learning?; how are self-improved meta-learning mechanisms heading for AGI ?; how can we use meta-learning in our approach to specific scenarios? The book presents the background of seven mainstream paradigms: meta-learning, few-shot learning, deep learning, transfer learning, machine learning, probabilistic modeling, and Bayesian inference. It then explains important state-of-the-art mechanisms and their variants for meta-learning, including memory-augmented neural networks, meta-networks, convolutional Siamese neural networks, matching networks, prototypical networks, relation networks, LSTM meta-learning, model-agnostic meta-learning, and the Reptile algorithm.\u003c\/p\u003e  \u003cp\u003eThe book takes a deep dive into nearly 200 state-of-the-art meta-learning algorithms from top tier conferences (e.g. NeurIPS, ICML, CVPR, ACL, ICLR, KDD). It systematically investigates 39 categories of tasks from 11 real-world application fields: Computer Vision, Natural Language Processing, Meta-Reinforcement Learning, Healthcare, Finance and Economy, Construction Materials, Graphic Neural Networks, Program Synthesis, Smart City, Recommended Systems, and Climate Science. Each application field concludes by looking at future trends or by giving a summary of available resources.\u003c\/p\u003e  \u003cp\u003e\u003ci\u003eMeta-Learning: Theory, Algorithms and Applications \u003c\/i\u003eis a great resource to understand the principles of meta-learning and to learn state-of-the-art meta-learning algorithms, giving the student, researcher and industry professional the ability to apply meta-learning for various novel applications.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e1. Meta-Learning Basics and Background 2. Model-Based Meta-Learning Approaches 3. Metric-Based Meta-Learning Approaches 4. Optimization-Based Meta-Learning Approaches 5. Meta-Learning for Computer Vision 6. Meta-Learning for Natural Language Processing 7. Meta-Reinforcement Learning 8. Meta-Learning for Health Care 9. Meta-Learning for Emerging Applications: Finance, Building Material, Graph Neural Networks, Program Synthesis, Transportation, Recommendation Systems and Climate Science\u003c\/p\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Neural networks \u0026amp; fuzzy systems [\u003ca title=\"See our other books on Neural networks \u0026amp; fuzzy systems\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Neural%20networks%20\u0026amp;%20fuzzy%20systems%20%5BUYQN%5D%22\"\u003eUYQN\u003c\/a\u003e], Artificial intelligence [\u003ca title=\"See our other books on Artificial intelligence\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Artificial%20intelligence%20%5BUYQ%5D%22\"\u003eUYQ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Academic Press","offers":[{"title":"Default Title","offer_id":46650928759064,"sku":"9780323899314","price":80.59,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780323899314_14ce9d0f-562b-4ca2-9a87-282860f41f43.jpg?v=1694993212"},{"product_id":"neural-network-models-of-cognition-biobehavioral-foundations-hardback-9780444819314","title":"Neural Network Models of Cognition; Biobehavioral Foundations (Hardback) 9780444819314","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eNeural Network Models of Cognition\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eBiobehavioral Foundations\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eJ.W. Donahoe (Edited by), V.P. Dorsel (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780444819314, Elsevier Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 26 September 1997\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e585 pages\u003cbr\u003e23.4 x 15.6 x 3.3 cm, 1.08 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003eThis internationally authored volume presents major findings, concepts, and methods of behavioral neuroscience coordinated with their simulation via neural networks. A central theme is that biobehaviorally constrained simulations provide a rigorous means to explore the implications of relatively simple processes for the understanding of cognition (complex behavior). Neural networks are held to serve the same function for behavioral neuroscience as population genetics for evolutionary science. The volume is divided into six sections, each of which includes both experimental and simulation research: (1) neurodevelopment and genetic algorithms, (2) synaptic plasticity (LTP), (3) sensory\/hippocampal systems, (4) motor systems, (5) plasticity in large neural systems (reinforcement learning), and (6) neural imaging and language. The volume also includes an integrated reference section and a comprehensive index.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePermissions. List of Contents. List of Contributors. The necessity of neural networks (J.W. Donahoe). \u003cb\u003eNeural Development\u003c\/b\u003e. Mammalian forebrain development: how cells find a permanent home and establish their identity (M.B. Luskin). Development and plasticity of neocortical processing architectures (W. Singer). A statistical framework for presenting developmental neuroanatomy (S. L Senft). Evolving aritifial neural networks in Pavlovian environments (J.E. Burgos). \u003cb\u003eNeural Plasticity\u003c\/b\u003e. Principles of neurotransmission and implications for network modeling (J.S. Meyer). Cellular mechanisms of long-term potentiation: late maintenance (U. Frey). Temporal information processing: a computational role for paired-pulse facilitation and slow inhibition (D.V. Buonomano, M.M. Merzenich). \u003cb\u003ePerceiving\u003c\/b\u003e. Inferotemporal cortex and object recognition (K. Tanaka). Sparse coding of faces in a neuronal model: interpreting cell population response in object recognition (A. Trehub). Structure and binding in object perception (J.E. Hummel). A neural-network approach to adaptive similarity and stimulus representations in cortico-hippocampal function (M.A. Gluck, C.E. Myers). \u003cb\u003eBehaving\u003c\/b\u003e. Motor cortex: neural and computational studies (A.P. Georgopoulos). Selectionist constraints on neural networks (D.C. Palmer). Analysis of reaching for stationary and moving objects in the human infant (N.E. Berthier). Reinforcement learning or complex behavior through shaping (V. Gullapalli). \u003cb\u003eReinforcement Learning\u003c\/b\u003e. Adaptive dopaminergic nuerons report the appetitive value of environmental stimuli (W. Schultz). Selection networks (J.W. Donahoe). Reinforcement learning in articial intelligence (A.G. Barto, R.S. Sutton). The T-D model of classical conditioning: reponse topography and brain implementation (J.W. Moore, J-S Choi). Biological substrates of predictive mechanisms in learning and action choice (P. Read Montague). The role of training in reinforcement learning (J.A. Clouse). \u003cb\u003eComplex Behavior\u003c\/b\u003e. Functional brain imaging and verbal behavior (M.E. Raichle). Neural modelling of learning in verbal response tasks (V. Gullapalli, J.J. Gelfand). Serial order: a parallel distributed processing approach (M.I. Jordan). Connectionist models of arbitrarily applicable relational responding: a possible role for the hippocampal system (D. Barnes, P.J. Hampson). A recurrent-network account of reading, spelling, and dyslexia (G.C. Van Orden \u003ci\u003eet al\u003c\/i\u003e.). References. Index.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Neural networks \u0026amp; fuzzy systems [\u003ca title=\"See our other books on Neural networks \u0026amp; fuzzy systems\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Neural%20networks%20\u0026amp;%20fuzzy%20systems%20%5BUYQN%5D%22\"\u003eUYQN\u003c\/a\u003e], Neurosciences [\u003ca title=\"See our other books on Neurosciences\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Neurosciences%20%5BPSAN%5D%22\"\u003ePSAN\u003c\/a\u003e], Cognition \u0026amp; cognitive psychology [\u003ca title=\"See our other books on Cognition \u0026amp; cognitive psychology\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Cognition%20\u0026amp;%20cognitive%20psychology%20%5BJMR%5D%22\"\u003eJMR\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"North Holland","offers":[{"title":"Default Title","offer_id":46651522089240,"sku":"9780444819314","price":149.49,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780444819314_225b3166-4270-4dd8-8181-4298b35a27c1.jpg?v=1694987394"},{"product_id":"computational-intelligence-concepts-to-implementations-hardback-9781558607590","title":"Computational Intelligence; Concepts to Implementations (Hardback) 9781558607590","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eComputational Intelligence\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eConcepts to Implementations\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003eThe most complete and practical coverage of computational intelligence tools and techniques to date!\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eRussell C. Eberhart (Author), Yuhui Shi (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9781558607590, Elsevier Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eHardback, published 17 October 2007\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e496 pages, Approx. 100 illustrations\u003cbr\u003e23.4 x 19 x 3 cm, 1.15 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cem\u003e\u003cfont size=\"3\"\u003e\"Russ Eberhart and Yuhui Shi have succeeded in integrating various natural and engineering disciplines to establish Computational Intelligence. This is the first comprehensive textbook, including lots of practical examples.\" \u003cb\u003e--Professor Shun-ichi Amari, RIKEN Brain Science Institute, Japan\u003c\/b\u003eComputational Intelligence describes a large, diverse, and evolving field of theories and techniques, all inspired in one way or the other by nature. The three pillars of CI, neural networks, fuzzy systems, and evolutionary computation, along with their many variants, interact in meaningful ways to solve very complex problems. This book is an excellent introduction to the field, greatly suited for an advanced undergraduate\/ beginning graduate student course, or for an interested scientist or engineer. The authors guide the reader in an easy flowing way through the history and foundational mathematics toward practical implementation of a few fundamental problem-solving systems in each area. In the fuzzy set chapters, they picked the most common application tool, fuzzy rule-based systems, even mixing in evolutionary design into the implementation. This book is an excellent choice on its own, but, as in my case, will form the foundation for our advanced graduate courses in the CI disciplines.\" --\u003cb\u003eJames M. Keller, University of Missouri-Columbia\u003c\/b\u003eThe excellent new book by Eberhart and Shi asserts that computational intelligence rests on a foundation of evolutionary computation. This refreshing view has set the book apart from other books on computational intelligence. The book has an emphasis on practical applications and computational tools, which are very useful and important for further development of the computational intelligence field. I am delighted that I have a copy of this book.\" \u003cb\u003e--Professor Xin Yao, The Centre of Excellence for Research in Computational Intelligence and Applications\u003c\/b\u003e\u003c\/font\u003e\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003cp\u003e\u003ci\u003eComputational Intelligence: Concepts to Implementations\u003c\/i\u003e provides the most complete and practical coverage of computational intelligence tools and techniques to date. This book integrates various natural and engineering disciplines to establish Computational Intelligence. This is the first comprehensive textbook on the subject, supported with lots of practical examples. It asserts that computational intelligence rests on a foundation of evolutionary computation. This refreshing view has set the book apart from other books on computational intelligence.\u003c\/p\u003e  \u003cp\u003eThis book lays emphasis on practical applications and computational tools, which are very useful and important for further development of the computational intelligence field. Focusing on evolutionary computation, neural networks, and fuzzy logic, the authors have constructed an approach to thinking about and working with computational intelligence that has, in their extensive experience, proved highly effective. The book moves clearly and efficiently from concepts and paradigms to algorithms and implementation techniques by focusing, in the early chapters, on the specific con. It explores a number of key themes, including self-organization, complex adaptive systems, and emergent computation. It details the metrics and analytical tools needed to assess the performance of computational intelligence tools. The book concludes with a series of case studies that illustrate a wide range of successful applications.\u003c\/p\u003e  \u003cp\u003eThis book will appeal to professional and academic researchers in computational intelligence applications, tool development, and systems.\u003c\/p\u003e\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eFOUNDATIONSCOMPUTATIONAL INTELLIGENCE EVOLUTIONARY COMPUTATION CONCEPTS AND PARADIGMS EVOLUTIONARY COMPUTATION IMPLEMENTATIONS NEURAL NETWORK CONCEPTS AND PARADIGMS NEURAL NETWORK IMPLEMENTATIONS FUZZY SYSTEMS CONCEPTS AND PARADIGMS FUZZY SYSTEMS IMPLEMENTATIONS COMPUTATIONAL INTELLIGENCE IMPLEMENTATIONS PERFORMANCE METRICS ANALYSIS AND EXPLANATION CASE STUDY SUMMARIES\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Neural networks \u0026amp; fuzzy systems [\u003ca title=\"See our other books on Neural networks \u0026amp; fuzzy systems\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Neural%20networks%20\u0026amp;%20fuzzy%20systems%20%5BUYQN%5D%22\"\u003eUYQN\u003c\/a\u003e], Expert systems \/ knowledge-based systems [\u003ca title=\"See our other books on Expert systems \/ knowledge-based systems\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Expert%20systems%20\/%20knowledge-based%20systems%20%5BUYQE%5D%22\"\u003eUYQE\u003c\/a\u003e], Artificial intelligence [\u003ca title=\"See our other books on Artificial intelligence\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Artificial%20intelligence%20%5BUYQ%5D%22\"\u003eUYQ\u003c\/a\u003e], Algorithms \u0026amp; data structures [\u003ca title=\"See our other books on Algorithms \u0026amp; data structures\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Algorithms%20\u0026amp;%20data%20structures%20%5BUMB%5D%22\"\u003eUMB\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Morgan Kaufmann","offers":[{"title":"Default Title","offer_id":46651666825496,"sku":"9781558607590","price":57.69,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9781558607590_803f5055-4f76-4bf9-bc2d-6c23427c6538.jpg?v=1696713824"},{"product_id":"machine-learning-for-biomedical-applications-with-scikit-learn-and-pytorch-paperback-softback-9780128229040","title":"Machine Learning for Biomedical Applications; With Scikit-Learn and PyTorch (Paperback \/ softback) 9780128229040","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eMachine Learning for Biomedical Applications\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eWith Scikit-Learn and PyTorch\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003eAn easy to understand, interactive learning resources that presents machine and deep learning methods as applied to biomedical engineering\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eMaria Deprez (Author), Emma C. Robinson (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780128229040, Elsevier Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 13 September 2023\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e304 pages, 84 illustrations (48 in full color)\u003cbr\u003e23.5 x 19 x 2 cm, 1 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003ci\u003eMachine Learning for Biomedical Applications: With Scikit-Learn and PyTorch\u003c\/i\u003e presents machine learning techniques most commonly used in a biomedical setting. Avoiding a theoretical perspective, it provides a practical and interactive way of learning where concepts are presented in short descriptions followed by simple examples using biomedical data. Interactive Python notebooks are provided with each chapter to complement the text and aid understanding. Sections cover uses in biomedical applications, practical Python coding skills, mathematical tools that underpin the field, core machine learning methods, deep learning concepts with examples in Keras, and much more. \u003cbr\u003e\u003cbr\u003eThis accessible and interactive introduction to machine learning and data analysis skills is suitable for undergraduates and postgraduates in biomedical engineering, computer science, the biomedical sciences and clinicians.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e1. Programming in Python\u003cbr\u003e2. Machine Learning Basics\u003cbr\u003e3. Regression\u003cbr\u003e4. Classification\u003cbr\u003e5. Dimensionality reduction\u003cbr\u003e6. Clustering\u003cbr\u003e7. Ensemble methods\u003cbr\u003e8. Feature extraction and selection\u003cbr\u003e9. Introduction to Deep Learning\u003cbr\u003e10. Neural Networks\u003cbr\u003e11. Convolutional Neural Networks\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Computer vision [\u003ca title=\"See our other books on Computer vision\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Computer%20vision%20%5BUYQV%5D%22\"\u003eUYQV\u003c\/a\u003e], Neural networks \u0026amp; fuzzy systems [\u003ca title=\"See our other books on Neural networks \u0026amp; fuzzy systems\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Neural%20networks%20\u0026amp;%20fuzzy%20systems%20%5BUYQN%5D%22\"\u003eUYQN\u003c\/a\u003e], Machine learning [\u003ca title=\"See our other books on Machine learning\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Machine%20learning%20%5BUYQM%5D%22\"\u003eUYQM\u003c\/a\u003e], Artificial intelligence [\u003ca title=\"See our other books on Artificial intelligence\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Artificial%20intelligence%20%5BUYQ%5D%22\"\u003eUYQ\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Academic Press","offers":[{"title":"Default Title","offer_id":48762275234072,"sku":"9780128229040","price":45.98,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9780128229040.jpg?v=1719596854"}],"url":"https:\/\/freshlyprintedbooks.co.uk\/collections\/neural-networks-fuzzy-systems.oembed","provider":"Freshly Printed Books","version":"1.0","type":"link"}