Neural Networks by Howard B. Demuth
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Neural Networks
Summary
This guide to neural networks includes worked problems in each chapter, and supporting software demonstrations. The authors of this work also developed the neural networks toolbox (for MathWorks) and the fuzzy systems toolbox (for PWS).
Neural Networks Summary
Table of Contents
Neuron model and network architectures; an illustrative examples; perceptron learning rule; signal and weight vector spaces; linear transformations for neural networks; supervised Hebbian learning; performance surfaces and optimum points; performance optimization; Widrow-Hoff learning.
Additional information
GOR013490945
9780534943325
0534943322
Neural Networks by Howard B. Demuth
Used - Like New
Hardback
Cengage Learning, Inc
19960101
628
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
The book has been read, but looks new. The book cover has no visible wear, and the dust jacket is included if applicable. No missing or damaged pages, no tears, possible very minimal creasing, no underlining or highlighting of text, and no writing in the margins