Principles of neurocomputing for science and engineering
by Frederic M Ham, Fredric M. Ham, and Ivica Kostanic
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"Principles of Neurocomputing for Science and Engineering is a textbook intended for individuals who want to understand the underlying principles of artificial neural networks for neurocomputing and for those who want to be able to apply various neurocomputing techniques to solve real-world problems in science and engineering.
Neurocomputing can be applied to problems such as pattern recognition, optimization, event classification, control and identification of nonlinear systems, and statistical analysis - just to name a few. This book is intended for a course in neural networks."--BOOK JACKET.
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Principles of neurocomputing for science and engineering
2001, McGraw Hill
in English
0070259666 9780070259669
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Principles of Neurocomputing for Science and Engineering
September 29, 2000, McGraw-Hill Science/Engineering/Math
Hardcover
in English
- 1 edition
0070259666 9780070259669
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3
Principles of Neurocomputing for Science and Engineering
September 29, 2000, McGraw-Hill Science/Engineering/Math
in English
0070259666 9780070259669
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Includes bibliographical references and index
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| July 15, 2024 | Edited by MARC Bot | import existing book |
| December 19, 2023 | Edited by ImportBot | import existing book |
| July 30, 2019 | Edited by MARC Bot | associate edition with work OL9280994W |
| December 3, 2010 | Edited by Open Library Bot | Added subjects from MARC records. |
| December 11, 2009 | Created by WorkBot | add works page |