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Algorithms and architectures /

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 effect...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Leondes, Cornelius T.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Diego, Calif. : Academic Press, ©1998.
Colección:Neural network systems techniques and applications ; v. 1.
Temas:
Acceso en línea:Texto completo

MARC

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245 1 0 |a Algorithms and architectures /  |c edited by Cornelius T. Leondes. 
260 |a San Diego, Calif. :  |b Academic Press,  |c ©1998. 
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490 1 |a Neural network systems techniques and applications ;  |v v. 1 
504 |a Includes bibliographical references and index. 
505 0 |a Statistical theories of learning in radial basis function networks / Jason A.S. Freeman, Mark J.L. Orr, and David Saad -- Synthesis of three-layer threshold networks / Jung Hwan Kim [and others] -- Weight initialization techniques / Mikko Lehtokangas [and others] -- Fast computation in hamming and hopfield networks / Isaac Meilijson, Eytan Ruppin, and Moshe Sipper -- Multilevel neurons / J. Si and A.N. Michel -- Probabilistic design / Sumio Watanabe and Kenji Fukumizu -- Short time memory problems / M. Daniel and Manoel Fernando Tenorio -- Reliability issue and quantization effects in optical and electronic network implementations of Hebbian-type associative memories / Pau-Choo Chung and Ching-Tsorng Tsai -- Finite constraint satisfaction / Angelo Monfroglio -- Parallel, self-organizing, hierarchical neural network systems / O.K. Ersoy -- Dynamics of networks of biological neurons : simulation and experimental tools / M. Bove [and others] -- Estimating the dimensions of manifolds using Delaunay diagrams / Yun-Chung Chu. 
588 0 |a Print version record. 
520 |a 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. 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.; It includes topics such as: 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; applications to finite constraint problems; practical realization methods for Hebbian type associative memory systems; parallel self-organizing hierarchical neural network systems; and dynamics of networks of biological neurons for utilization in computational neuroscience. Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering, will find this volume a unique and comprehensive reference to a broad array of algorithms and architectures. 
546 |a English. 
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