Computational Intelligence Techniques for Direct and Inverse Modelling - Couverture souple

Majhi, Babita

 
9783659907364: Computational Intelligence Techniques for Direct and Inverse Modelling
Couverture souple
ISBN 10 : 3659907367 ISBN 13 : 9783659907364
Editeur : LAP LAMBERT Academic Publishing, 2016

Synopsis

This book deals with the following real time problems: (i) Development of accurate direct and inverse models of complex plants using some novel architecture and new learning techniques. (ii) Development of new training rules which alleviates local minima problem during training and thus help in generating improved adaptive models. (iii)Development of robust training strategy which is less sensitive to outliers in training and thus to create identification and equalization models which are robust against outliers. In essence, this book proposed many new and efficient algorithms and structure for identification and equalization task such as distributed algorithms, robust algorithms, algorithms for pole-zero identification and Hammerstein models. All these new methods are shown to be better in terms of performance, speed of computation or accuracy of results.

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

Présentation de l'éditeur

This book deals with the following real time problems: (i) Development of accurate direct and inverse models of complex plants using some novel architecture and new learning techniques. (ii) Development of new training rules which alleviates local minima problem during training and thus help in generating improved adaptive models. (iii)Development of robust training strategy which is less sensitive to outliers in training and thus to create identification and equalization models which are robust against outliers. In essence, this book proposed many new and efficient algorithms and structure for identification and equalization task such as distributed algorithms, robust algorithms, algorithms for pole-zero identification and Hammerstein models. All these new methods are shown to be better in terms of performance, speed of computation or accuracy of results.

Biographie de l'auteur

Babita Majhi, Ph.D. (NIT Rourkela, 2009), Postdoc (Univ. of Sheffield, UK, 2011-12). Presently she is working as an Asst. Professor in CSIT department at GGU, Central University, Bilaspur, India. Her areas of research interests are Adaptive Signal Processing, Machine Learning, Computational Finance, Distributed Signal Processing, and Data Mining.

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
2016
Langue
anglais
ISBN 10 
3659907367
ISBN 13 
9783659907364
Reliure
Broché
Nombre de pages
280
Coordonnées du fabricant
non disponible
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