Principles of Neurocomputing for Science and Engineering

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McGraw Hill, 2000 - Computers - 642 pages
Unlike other neural network books, this is written specifically for scientists and engineers who want to apply neural networks to solve complex problems. For each neurocomputing concept, a solid mathematical foundation is presented along with illustrative examples to accompany that particular architecture and associated training algorithm. It incorporates many detailed examples and an extensive set of end-of-chapter problems.

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Contents

2
21
9 1 Scaling 2 9 2 Transformations 2 9 3 Fourier Transform
84
Mapping Networks 96 2250
96
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About the author (2000)

Fredric M. Ham, Ph.D. is the Harris Professor of Electrical Engineering at the Florida Institute of Technology, Melbourne.

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