Dieser Band beschäftigt sich mit RBFNs, einer Klasse von Netzwerken, die in neuronalen Netzen für spezielle Anwendungen, beispielsweise in der nichtlinearen Prozeßabschätzung und -steuerung, Einsatz finden. Alle wichtigen mathematischen Begriffe und Theoreme werden ausführlich erläutert. Ein maßgebliches Buch zu einer hochmodernen Technologie!
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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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Condizione: 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. . . . . Codice articolo V9780471353492
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Hardcover. Condizione: new. Hardcover. 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. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9780471353492
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