Regularized Radial Basis Function Networks: Theory and Applications: 20 (Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control) - Hardcover
Book 4 of 33: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control
Synopsis
Simon Haykin is a well-known author of books on neural networks.
* An authoritative book dealing with cutting edge technology.
* This book has no competition.
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About the Author
Paul V. Yee is the author of Regularized Radial Basis Function Networks: Theory and Applications, published by Wiley.
Simon Haykin is the author of Regularized Radial Basis Function Networks: Theory and Applications, published by Wiley.
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Regularized Radial Basis Function Networks : Theory and Applications
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Wiley & Sons, Incorporated, John, 2001
ISBN 10: 0471353493
ISBN 13: 9780471353492
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Regularized Radial Basis Function Networks: Theory and Applications
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Wiley-Interscience, 2001
ISBN 10: 0471353493
ISBN 13: 9780471353492
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Regularized Radial-Basis Function Networks : Theory and Applications
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Regularized Radial Basis Function Networks
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Condition: New. This title deals with the design of Radial Basis Function Networks (RBFNs), one of two classes of feedforward networks with applications in artificial neural networks, for particular tasks. These applications are in such engineering problems as nonlinear process estimation and control. Series: Adaptive and Learning Systems for Signal Processing, Communications and Control Series. Num Pages: 208 pages, references. BIC Classification: TJK; UT. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 242 x 165 x 17. Weight in Grams: 444. . 2001. Hardback. . . . . Seller Inventory # V9780471353492
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