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Static and Dynamic Neural Networks From Fundamentals to Advanced Theory

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ISBN-10: 0471219487

ISBN-13: 9780471219484

Edition: 2003

Authors: Madan Gupta, Liang Jin, Noriyasu Homma

List price: $257.95
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Description:

The authors provide comprehensive treatment of the theory of both static and dynamic neural networks. Theoretical concepts are illustrated by reference to practical examples.
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Book details

List price: $257.95
Copyright year: 2003
Publisher: John Wiley & Sons, Incorporated
Publication date: 4/11/2003
Binding: Hardcover
Pages: 752
Size: 6.36" wide x 9.49" long x 1.56" tall
Weight: 2.552
Language: English

Foreword
Preface
Acknowledgments
Foundations Of Neural Networks
Neural Systems: An Introduction
Biological Foundations of Neuronal Morphology
Neural Units: Concepts, Models, and Learning
Static Neural Networks
Multilayered Feedforward Neural Networks (MFNNs) and Backpropagation Learning Algorithms
Advanced Methods for Learning Adaptation in MFNNs
Radial Basis Function Neural Networks
Function Approximation Using Feedforward Neural Networks
Dynamic Neural Networks
Dynamic Neural Units (DNUs): Nonlinear Models and Dynamics
Continuous-Time Dynamic Neural Networks
Learning and Adaptation in Dynamic Neural Networks
Stability of Continuous-Time Dynamic Neural Networks
Discrete-Time Dynamic Neural Networks and Their Stability
Some Advanced Topics In Neural Networks
Binary Neural Networks
Feedback Binary Associative Memories
Fuzzy Sets and Fuzzy Neural Networks
References and Bibliography
Current Bibliographic Sources on Neural Networks
Index