Articles liés à ELM in nonstationary environment: Extreme Learning...

ELM in nonstationary environment: Extreme Learning Machine and its variants for Time-Varying Neural Networks case study - Couverture souple

Ye, Yibin; Squartini, Stefano; Piazza, Francesco

 
9783659248900: ELM in nonstationary environment: Extreme Learning Machine and its variants for Time-Varying Neural Networks case study
Couverture souple
ISBN 10 : 3659248908 ISBN 13 : 9783659248900
Editeur : LAP LAMBERT Academic Publishing, 2012

Synopsis

System identification in nonstationary environment represents a challenging problem and an advaned neural architecture namely Time-Varying Neural Net- works (TV-NN) has shown remarkable identification properties in nonlinear and nonstationary conditions. Time-varying weights, each being a linear com- bination of a certain set of basis functions, are used in such kind of networks instead of stable ones, which inevitalbly increases the number of free parame- ters. Therefore, an Extreme Learning Machine (ELM) approach is developed to accelerate the training procedure for TV-NN. What is more, in order to ob- tain a more compact structure, or determine several important parameters, or update the network more efficiently in online case, several variants of ELM-TV are proposed and discussed in the book. Related computer simulations have been carried out and show the effectiveness of the algorithms.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

System identification in nonstationary environment represents a challenging problem and an advaned neural architecture namely Time-Varying Neural Net- works (TV-NN) has shown remarkable identification properties in nonlinear and nonstationary conditions. Time-varying weights, each being a linear com- bination of a certain set of basis functions, are used in such kind of networks instead of stable ones, which inevitalbly increases the number of free parame- ters. Therefore, an Extreme Learning Machine (ELM) approach is developed to accelerate the training procedure for TV-NN. What is more, in order to ob- tain a more compact structure, or determine several important parameters, or update the network more efficiently in online case, several variants of ELM-TV are proposed and discussed in the book. Related computer simulations have been carried out and show the effectiveness of the algorithms.

Biographie de l'auteur

Yibin Ye was born in Guangdong, China, on January 10, 1981. He received the B.S. degree in electronic and information engineering in 2003 at South China University of Technology, and Ph.D. degree at Universita Politecnica delle Marche (Italy) in 2012. His research interests include wireless networks and machine learning.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2012
Langue
anglais
ISBN 10 
3659248908
ISBN 13 
9783659248900
Reliure
Broché
Nombre de pages
88
Coordonnées du fabricant
non disponible
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