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Regularized Radial Basis Function Networks – Theory & Applications de PV Yee

Regularized Radial Basis Function Networks – Theory & Applications: Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control

Autor PV Yee
en Limba Engleză Hardback – 23 apr 2001
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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Specificații

ISBN-13: 9780471353492
ISBN-10: 0471353493
Pagini: 208
Dimensiuni: 165 x 242 x 18 mm
Greutate: 0.45 kg
Ediția:New.
Editura: Wiley
Seria Adaptive and Cognitive Dynamic Systems: Signal Processing, Learning, Communications and Control

Locul publicării:Hoboken, United States

Public țintă

Researchers in neural networks, Libraries, Supplement for Graduate level courses.

Cuprins

Descriere

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.