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Neural computing : an introduction

Author: R Beale; T Jackson
Publisher: Bristol, U.K. ; Philadelphia, Pa. : Institute of Physics Pub., 1991, ©1990
Edition/Format:   Print book : EnglishView all editions and formats

An explanation of the basic concepts of neural computation, this book is about the whole field of neural networks and covers the major approaches and their results. It aims to develop concepts and  Read more...


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Document Type: Book
All Authors / Contributors: R Beale; T Jackson
ISBN: 0852742622 9780852742624
OCLC Number: 36369518
Notes: "Reprinted with corrections, 1991."
Description: xv, 240 pages : illustrations ; 24 cm
Contents: INTRODUCTION Humans and computers The structure of the brain Learning in machines The differences Summary PATTERN RECOGNITION Introduction Pattern recognition in perspective Pattern recognition-a definition Feature vectors and feature space Discriminant functions Classification techniques Linear classifiers Statistical techniques Pattern recognition-a summary THE BASIC NEURON Introduction Modeling the single neuron Learning in simple neurons The perceptron: a vectorial perspective The perceptron learning rule: proof Limitations of perceptrons The end of the line? Summary THE MULTILAYER PERCEPTRON Introduction Altering the perceptron model The new model The new learning rule The multilayer perceptron algorithm The XOR problem revisited Visualizing network behavior Multilayer perceptrons as classifiers Generalization Fault tolerance Learning difficulties Radial basis functions Applications Summary KOHONEN SELF-ORGANIZING NETWORKS Introduction The Kohonen algorithm Weight training Neighborhoods Reducing the neighborhood Learning vector quantization (LVQ) The phonetic typewriter Summary HOPFIELD NETWORKS Introduction The Hopfield model The energy landscape The Boltzmann machine Constraint satisfaction Summary ADAPTIVE RESONANCE THEORY Introduction Adaptive resonance theory (ART) Architecture and operation ART algorithm Training the ART network Classification Conclusion Summary of ART ASSOCIATIVE MEMORY Standard computer memory Implementing associative memory Implementation in RAMs RAMs and N-tupling Willshaw's associative net The ADAM system Kanerva's sparse distributed memory Bidirectional associative memories Conclusion Summary INTO THE LOOKING GLASS Overview Hardware and software implementations Optical computing Optical computing and neural networks INDEX
Responsibility: R. Beale and T. Jackson.
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"It is clear that any introductory book must explain what the leaders of the current revival have done. This is well done by Beale and Jackson." Igor Aleksander, Imperial College of Science, Read more...

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