Radial Basis Function Networks 1: Recent Developments in Theory and Applications (Studies in Fuzziness and Soft Computing, 66)

ISBN 10: 3790813672 ISBN 13: 9783790813678

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The Radial Basis Function (RBF) neural network has gained in popularity over recent years because of its rapid training and its desirable properties in classification and functional approximation applications. RBF network research has focused on enhanced training algorithms and variations on the basic architecture to improve the performance of the network. In addition, the RBF network is proving to be a valuable tool in a diverse range of application areas, for example, robotics, biomedical engineering, and the financial sector. The two volumes provide a comprehensive survey of the latest developments in this area. Volume 1 covers advances in training algorithms, variations on the architecture and function of the basis neurons, and hybrid paradigms, for example RBF learning using genetic algorithms. Both volumes will prove extremely useful to practitioners in the field, engineers, researchers and technically accomplished managers.

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Titre : Radial Basis Function Networks 1: Recent ...
�diteur : Physica
Date d'�dition : 2001
Reliure : Couverture rigide
Etat : New

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Radial Basis Function Networks 1 : Recent Developments in Theory and Applications

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Edit� par Physica, 2001

ISBN 10 : 3790813672 ISBN 13 : 9783790813678

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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 340 | Sprache: Englisch | Produktart: B�cher | Keine Beschreibung verf�gbar. N� de r�f. du vendeur 695528/2

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Radial Basis Function Networks 1

Howlett, Robert J.|Jain, Lakhmi C.

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Contains a wide range of applications in the laboratory and case-studies describing current use Overall view of the methods used for the genetic optimisation of artificial neural networks and presentation of the inherent problemsThe Radial Basis Fun. N� de r�f. du vendeur 5310329

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Radial Basis Function Networks 1 | Recent Developments in Theory and Applications

Lakhmi C. Jain (u. a.)

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Radial Basis Function Networks 1: Recent Developments in Theory and Applications (Studies in Fuzziness and Soft Computing, 66)

Edit� par Physica, 2001

ISBN 10 : 3790813672 ISBN 13 : 9783790813678

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Radial Basis Fuction Networks 1 : Recent Developments in Theory and Applications

Howlett, Robert J. (EDT); Jain, L. C. (EDT)

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Radial Basis Function Networks 1

Lakhmi C. Jain

Edit� par Physica-Verlag HD M�r 2001, 2001

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Buch. Etat : Neu. Neuware -The Radial Basis Function (RBF) neural network has gained in popularity over recent years because of its rapid training and its desirable properties in classification and functional approximation applications. RBF network research has focused on enhanced training algorithms and variations on the basic architecture to improve the performance of the network. In addition, the RBF network is proving to be a valuable tool in a diverse range of application areas, for example, robotics, biomedical engineering, and the financial sector. The two volumes provide a comprehensive survey of the latest developments in this area. Volume 1 covers advances in training algorithms, variations on the architecture and function of the basis neurons, and hybrid paradigms, for example RBF learning using genetic algorithms. Both volumes will prove extremely useful to practitioners in the field, engineers, researchers and technically accomplished managers.Physica Verlag, Tiergartenstr. 17, 69121 Heidelberg 340 pp. Englisch. N� de r�f. du vendeur 9783790813678

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Radial Basis Function Networks 1 : Recent Developments in Theory and Applications

Lakhmi C. Jain

Edit� par Physica-Verlag HD, 2001

ISBN 10 : 3790813672 ISBN 13 : 9783790813678

Neuf Couverture rigide

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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

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Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The Radial Basis Function (RBF) neural network has gained in popularity over recent years because of its rapid training and its desirable properties in classification and functional approximation applications. RBF network research has focused on enhanced training algorithms and variations on the basic architecture to improve the performance of the network. In addition, the RBF network is proving to be a valuable tool in a diverse range of application areas, for example, robotics, biomedical engineering, and the financial sector. The two volumes provide a comprehensive survey of the latest developments in this area. Volume 1 covers advances in training algorithms, variations on the architecture and function of the basis neurons, and hybrid paradigms, for example RBF learning using genetic algorithms. Both volumes will prove extremely useful to practitioners in the field, engineers, researchers and technically accomplished managers. N� de r�f. du vendeur 9783790813678

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Radial Basis Function Networks 1. Vol.1

Robert J.Howlett

Edit� par Physica-Verlag, Physica-Verlag HD, Physica Mrz 2001, 2001

ISBN 10 : 3790813672 ISBN 13 : 9783790813678

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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The Radial Basis Function (RBF) neural network has gained in popularity over recent years because of its rapid training and its desirable properties in classification and functional approximation applications. RBF network research has focused on enhanced training algorithms and variations on the basic architecture to improve the performance of the network. In addition, the RBF network is proving to be a valuable tool in a diverse range of application areas, for example, robotics, biomedical engineering, and the financial sector. The two volumes provide a comprehensive survey of the latest developments in this area. Volume 1 covers advances in training algorithms, variations on the architecture and function of the basis neurons, and hybrid paradigms, for example RBF learning using genetic algorithms. Both volumes will prove extremely useful to practitioners in the field, engineers, researchers and technically accomplished managers. 318 pp. Englisch. N� de r�f. du vendeur 9783790813678

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