Radial Basis Function Networks
. Ed(s): Howlett, Robert J.; Jain, Prof. Lakhmi C.
ISBN 10: 3790824828 ISBN 13: 9783790824827
Edité par Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2010
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Editor(s): Howlett, Robert J.; Jain, Prof. Lakhmi C. Series: Studies in Fuzziness and Soft Computing. Num Pages: 336 pages, 14 black & white tables, biography. BIC Classification: UYQN. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 17. Weight in Grams: 516. . 2010. Softcover reprint of hardcover 1st ed. 2001. Paperback. . . . . N° de réf. du vendeur V9783790824827
Synopsis :
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
Éditeur : Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Date d'édition : 2010
Reliure : Couverture souple
Etat : New
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