Neural Networks: A Comprehensive Foundation

Front Cover
Prentice Hall, 1999 - Computers - 842 pages
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It examines all the important aspects of this emerging technolgy, covering the learning process, back propogation, radial basis functions, recurrent networks, self-organizing systems, modular networks, temporal processing, neurodynamics, and VLSI implementation. New chapters delve into such areas as support vector machines, and reinforcement learning/neurodynamic programming, plus readers will find an entire chapter of case studies to illustrate the real-life, practical applications of neural networks.

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Contents

Introduction
1
Z Learning Processes
50
Single Layer Perceptrons
117
Copyright

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