Radial Basis Function Networks 1 : Recent Developments in Theory and Applications
Kacprzyk, Janusz
ISBN 10: 3790824828 ISBN 13: 9783790824827
Verlag: Physica, 2010
Gebraucht
Softcover
Verkäufer
GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
AbeBooks-Verkäufer seit 6. April 2009
Dieser Artikel ist nicht mehr verfügbar.
Beschreibung
Beschreibung:
Unread book in perfect condition. Bestandsnummer des Verkäufers 15524008
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.
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.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
Bibliografische Details
Titel: Radial Basis Function Networks 1 : Recent ...
Verlag: Physica
Erscheinungsdatum: 2010
Einband: Softcover
Zustand: As New