Freshly Printed - allow 10 days lead
Algorithms and Architectures
Cornelius T. Leondes (Author)
9780124438613
Hardback, published 9 February 1998
460 pages
22.9 x 15.1 x 2.9 cm, 0.84 kg
This 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. This 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. A 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.
Freeman, Orr, and Saad, Statistical Theories of Learning in Radial Basis Function NetworksKim, Park, Oh, and Han, The Synthesis of Three-Layer Threshold NetworksLehtokangas, Salmela, Saarinen, and Kaski, Weight Initialization TechniquesMeilijson, Ruppin, and Sipper, Fast Computation in Hamming and Hopfield NetworksSi and Michel, Multilevel NeuronsWatanabe and Fukumizu, Probabilistic DesignTom and Tenorio, Short Time Memory ProblemsChung and Tsai, Reliability Issue and Quantization Effects in Optical and Electronic Network Implementations of Hebbian-Type Associative MemoriesMonfroglio, Finite Constraint SatisfactionChu, Estimating the Dimensions of Manifolds Using Delaunay DiagramsErsoy, Parallel, Self-Organizing, Hierarchical Neural Network Systems
Subject Areas: Neural networks & fuzzy systems [UYQN], Artificial intelligence [UYQ], Computer architecture & logic design [UYF], Mathematical theory of computation [UYA]