Sinossi
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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
L'autore
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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PSO-Based Evolutionary Learning
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LAP LAMBERT Academic Publishing Mai 2011, 2011
ISBN 10: 3844331530
ISBN 13: 9783844331530
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 156 pp. Englisch. Codice articolo 9783844331530
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PSO-Based Evolutionary Learning
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ISBN 13: 9783844331530
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chen Ching-YiChing-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. Codice articolo 5473535
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PSO-Based Evolutionary Learning
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LAP LAMBERT Academic Publishing Mai 2011, 2011
ISBN 10: 3844331530
ISBN 13: 9783844331530
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 156 pp. Englisch. Codice articolo 9783844331530
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PSO-Based Evolutionary Learning : System Design and Applications
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LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844331530
ISBN 13: 9783844331530
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9783844331530
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PSO-Based Evolutionary Learning | System Design and Applications
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LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844331530
ISBN 13: 9783844331530
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Taschenbuch. Condizione: Neu. PSO-Based Evolutionary Learning | System Design and Applications | Ching-Yi Chen | Taschenbuch | 156 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783844331530 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 107004939
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PSO-Based Evolutionary Learning: System Design and Applications
Editore:
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844331530
ISBN 13: 9783844331530
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Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book. Codice articolo ERICA77338443315306
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