Synopsis
* 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
* Incorporates many detailed examples and an extensive set of end-of-chapter problems
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About the Authors
Fred Ham is a professor at the Florida Institute of Technology.
Ivica Kostanic works at SAFCO Technologies Inc.
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Principles of Neurocomputing for Science and Engineering
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McGraw-Hill Science/Engineering/Math, 2000
ISBN 10: 0070259666
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Principles of Neurocomputing for Science and Engineering
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Principles of Neurocomputing for Science and Engineering
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Principles of Neurocomputing for Science and Engineering
Published by
McGraw-Hill Science/Engineering/Math, 2000
ISBN 10: 0070259666
ISBN 13: 9780070259669
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Principles of Neurocomputing for Science and Engineering
Published by
McGraw-Hill Science/Engineering/Math, 2000
ISBN 10: 0070259666
ISBN 13: 9780070259669
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Principles of Neurocomputing for Science and Engineering
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ISBN 10: 0070259666
ISBN 13: 9780070259669
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