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

 
9783790824827: Radial Basis Function Networks 1: Recent Developments in Theory and Applications (Studies in Fuzziness and Soft Computing, Band 66)
Softcover
ISBN 10: 3790824828 ISBN 13: 9783790824827
Verlag: Physica, 2010

Inhaltsangabe

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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Von der hinteren Coverseite

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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Verlag
Physica
Erscheinungsdatum
2010
Sprache
Englisch
ISBN 10 
3790824828
ISBN 13 
9783790824827
Einband
Taschenbuch
Anzahl der Seiten
336
Herausgeber
J.Howlett Robert, C. Jain Lakhmi
Kontakt zum Hersteller
preigu GmbH & Co. KG
mail@preigu.de

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