Neural Network Design / Edition 1

Neural Network Design / Edition 1

by Howard B. Demuth
     
 

ISBN-10: 0534943322

ISBN-13: 9780534943325

Pub. Date: 02/28/1996

Publisher: Brooks/Cole

Neural Network Design provides a clear and detailed survey of basic neural network architectures and learning rules. In it, the authors emphasize mathematical analysis of networks, methods for training networks, and application of networks to practical engineering problems in pattern recognition, signal processing, and control systems. The book incorporates

Overview

Neural Network Design provides a clear and detailed survey of basic neural network architectures and learning rules. In it, the authors emphasize mathematical analysis of networks, methods for training networks, and application of networks to practical engineering problems in pattern recognition, signal processing, and control systems. The book incorporates necessary background material (such as linear algebra, optimization, and stability), while including extensive coverage of performance learning, like the Widrow-Hoff rule and back propagation. The authors describe several enhancements of back propagation, such as the conjugate gradient and Levenberg-Marquardt variations.

Product Details

ISBN-13:
9780534943325
Publisher:
Brooks/Cole
Publication date:
02/28/1996
Series:
Electrical Engineering Series
Edition description:
1st ed
Pages:
736
Product dimensions:
8.23(w) x 9.60(h) x 1.29(d)

Related Subjects

Table of Contents

Preface. 1. Introduction. 2. Neuron Model and Network Architectures. 3. An Illustrative Example. 4. Perception Learning Rule. 5. Signal and Weight Vector Spaces. 6. Linear Transformations for Neural Networks. 7. Supervised Hebbian Learning. 8. Performance Surfaces and Optimum Points. 9. Performance Optimization. 10. Widrow-Hoff Learning. 11. Backpropagation. 12. Variations on Backpropagation. 13. Associative Learning. 14. Competitive Networks. 15. Grossberg Network. 16. Adaptive Resonance Theory. 17. Stability. 18. Hopfield Network. 19. Epilogue. Appendices. Index.

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