PSO-Based Evolutionary Learning: System Design and Applications - Couverture souple

Chen, Ching-Yi

 
9783844331530: PSO-Based Evolutionary Learning: System Design and Applications
Couverture souple
ISBN 10 : 3844331530 ISBN 13 : 9783844331530
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

The new paradigm of Swarm Intelligence, called Particle Swarm Optimization (PSO), is one of the well-known evolutionary computation techniques, which can be considered as an efficient tool to find near optimal solution in a searching space. Especially, PSO is a useful method when the problems to be solved are high-dimensional, nonlinear or some specific information is unavailable. PSO combines the social-only model and the cognition-only model to select the adjustable parameters to approach optimal solution, its main advantage is its rapid convergence and small computational requirements, which make it a good candidate for solving optimization problems. In this book, the efficient, robust, and flexible PSO algorithms are proposed to generate some artificial intelligence system in solving some applications, such as cluster analysis, image processing, and neural network training.

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

Présentation de l'éditeur

The new paradigm of Swarm Intelligence, called Particle Swarm Optimization (PSO), is one of the well-known evolutionary computation techniques, which can be considered as an efficient tool to find near optimal solution in a searching space. Especially, PSO is a useful method when the problems to be solved are high-dimensional, nonlinear or some specific information is unavailable. PSO combines the social-only model and the cognition-only model to select the adjustable parameters to approach optimal solution, its main advantage is its rapid convergence and small computational requirements, which make it a good candidate for solving optimization problems. In this book, the efficient, robust, and flexible PSO algorithms are proposed to generate some artificial intelligence system in solving some applications, such as cluster analysis, image processing, and neural network training.

Biographie de l'auteur

Ching-Yi Chen received his Ph.D. degree from Tamkang University, New Taipei City, Taiwan. He joined the Department of Information and Telecommunications, Ming-Chuan University in 2007 and is now an assistant professor. His main research interests include swarm intelligence, pattern recognition, and embedded systems.

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
2011
Langue
anglais
ISBN 10 
3844331530
ISBN 13 
9783844331530
Reliure
Broché
Nombre de pages
156
Coordonnées du fabricant
non disponible
Personne responsable
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