Radial Basis Function Networks 2 (e-bog) af Jain, Lakhmi C.
Jain, Lakhmi C. (forfatter)

Radial Basis Function Networks 2 e-bog

1240,73 DKK (inkl. moms 1550,91 DKK)
The Radial Basis Function (RBF) network has gained in popularity in recent years. This is due to its desirable properties in classification and functional approximation applications, accompanied by training that is more rapid than that of many other neural-network techniques. RBF network research has focused on enhanced training algorithms and variations on the basic architecture to improve the...
E-bog 1240,73 DKK
Forfattere Jain, Lakhmi C. (forfatter)
Forlag Physica
Udgivet 19 marts 2013
Genrer Artificial intelligence
Sprog English
Format pdf
Beskyttelse LCP
ISBN 9783790818260
The Radial Basis Function (RBF) network has gained in popularity in recent years. This is due to its desirable properties in classification and functional approximation applications, accompanied by training that is more rapid than that of many other neural-network techniques. 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 applications areas, for example, robotics, biomedical engineering, and the financial sector. The two-title series Theory and Applications of Radial Basis Function Networks provides a comprehensive survey of recent RBF network research. This volume, New Advances in Design, contains a wide range of applications in the laboratory and case-studies describing current use. The sister volume to this one, Recent Developments in Theory and Applications, covers advances in training algorithms, variations on the architecture and function of the basis neurons, and hybrid paradigms. The combination of the two volumes will prove extremely useful to practitioners in the field, engineers, researchers, students and technically accomplished managers.