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

£107.98

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

Name: Radial Basis Function Networks 1: Recent Developments in Theory and Applications: 66 (Studies in Fuzziness and Soft Computing, 66)
Brand: Physica
Price: 107.98 GBP
Availability: InStock

AI & Machine Learning

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Description

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. From the Back Cover 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.

Product Specifications

Brand: Physica
Format: paperback
ASIN: 3790824828
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 21 October 2010
Listed Since: 20 September 2010

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

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