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# Principles Of Neurocomputing For Science And Engineering

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 exa
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Hardcover, 642 pages

Published
September 29th 2000
by McGraw-Hill Science/Engineering/Math

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