{"product_id":"pattern-recognition-statistical-structural-and-neural-approaches-paperback-softback-9780471529743","title":"Pattern Recognition; Statistical, Structural and Neural Approaches (Paperback \/ softback) 9780471529743","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003ePattern Recognition\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eStatistical, Structural and Neural Approaches\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003eRobert J. Schalkoff (Author)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780471529743, Wiley\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback \/ softback, published 18 November 1991\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e384 pages\u003cbr\u003e24.3 x 19.6 x 2.4 cm, 0.866 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\"\u003eExplores the heart of pattern recognition concepts, methods and applications using statistical, syntactic and neural approaches. Divided into four sections, it clearly demonstrates the similarities and differences among the three approaches. The second part deals with the statistical pattern recognition approach, starting with a simple example and finishing with unsupervised learning through clustering. Section three discusses the syntactic approach and explores such topics as the capabilities of string grammars and parsing; higher dimensional representations and graphical approaches. Part four presents an excellent overview of the emerging neural approach including an examination of pattern associations and feedforward nets. Along with examples, each chapter provides the reader with pertinent literature for a more in-depth study of specific topics.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSTATISTICAL PATTERN RECOGNITION (StatPR).\u003cbr\u003e \u003cbr\u003e Supervised Learning (Training) Using Parametric and NonparametricApproaches.\u003cbr\u003e \u003cbr\u003e Linear Discriminant Functions and the Discrete and Binary FeatureCases.\u003cbr\u003e \u003cbr\u003e Unsupervised Learning and Clustering.\u003cbr\u003e \u003cbr\u003e SYNTACTIC PATTERN RECOGNITION (SyntPR).\u003cbr\u003e \u003cbr\u003e Overview.\u003cbr\u003e \u003cbr\u003e Syntactic Recognition via Parsing and Other Grammars.\u003cbr\u003e \u003cbr\u003e Graphical Approaches to SyntPR.\u003cbr\u003e \u003cbr\u003e Learning via Grammatical Inference.\u003cbr\u003e \u003cbr\u003e NEURAL PATTERN RECOGNITION (NeurPR).\u003cbr\u003e \u003cbr\u003e Introduction to Neural Networks.\u003cbr\u003e \u003cbr\u003e Introduction to Neural Pattern Associators and MatrixApproaches.\u003cbr\u003e \u003cbr\u003e Feedforward Networks and Training by Backpropagation.\u003cbr\u003e \u003cbr\u003e Content Addressable Memory Approaches and Unsupervised Learning inNeurPR.\u003cbr\u003e \u003cbr\u003e Appendices.\u003cbr\u003e \u003cbr\u003e References.\u003cbr\u003e \u003cbr\u003e Permission Source Notes.\u003cbr\u003e \u003cbr\u003e Index.\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Mechanical engineering \u0026amp; materials [\u003ca title=\"See our other books on Mechanical engineering \u0026amp; materials\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Mechanical%20engineering%20\u0026amp;%20materials%20%5BTG%5D%22\"\u003eTG\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Wiley","offers":[{"title":"Brand New","offer_id":52293504663832,"sku":"9780471529743","price":192.29,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/files\/9780471529743.jpg?v=1781642991","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/pattern-recognition-statistical-structural-and-neural-approaches-paperback-softback-9780471529743","provider":"Freshly Printed Books","version":"1.0","type":"link"}