Radial Basis Function Networks 1

Name: Radial Basis Function Networks 1
Brand: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
SKU: 9783790824827
Price: 3426 CZK
Availability: InStock

Recent Developments in Theory and Applications

Autor: Lakhmi C. Jain

Jazyk:

Vazba: Brožovaná

Vydavatel: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Dostupnost: Skladem u dodavatele

Odesíláme za 5-8 dnů

3 426 Kč

The Radial Basis Function (RBF) neural network has gained in popularity over recent years because of...

Informace o knize

Autor

Lakhmi C. Jain

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2010

Stránek

318

EAN

9783790824827

ISBN

3790824828

Enbook ID

01738148

Vydavatel

Springer-Verlag Berlin and Heidelberg GmbH & Co. KG

Hmotnost

516

Rozměry

155 x 235 x 19

Kompletní popis

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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Radial Basis Function Networks 1

Recent Developments in Theory and Applications

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