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Synopsis
Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control Soft Computing (SC) consists of intelligent computing paradigms used to create powerful hybrid intelligent systems. This book offers new methods for evolutionary design of intelligent systems using SC and their applications in modeling, simulation and control.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Présentation de l'éditeur
The editors describe in this book, new methods for evolutionary design of intelligent systems using soft computing and their applications in modeling, simulation and control. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in four main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of evolutionary design of fuzzy systems in intelligent control, which consists of papers that propose new methods for designing and optimizing intelligent controllers for different applications. The second part contains papers with the main theme of evolutionary design of intelligent systems for pattern recognition applications, which are basically papers using evolutionary algorithms for optimizing modular neural networks with fuzzy systems for response integration, for achieving pattern recognition in different applications. The third part contains papers with the themes of models for learning and social simulation, which are papers that apply intelligent systems to the problems of designing learning objects and social agents. The fourth part contains papers that deal with intelligent systems in robotics applications and hardware implementations.
Présentation de l'éditeur
Soft Computing (SC) consists of intelligent computing paradigms used to create powerful hybrid intelligent systems. This book offers new methods for evolutionary design of intelligent systems using SC and their applications in modeling, simulation and control.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
- ÉditeurSpringer
- Date d'édition2012
- ISBN 10 3642260837
- ISBN 13 9783642260834
- ReliureBroché
- Langueanglais
- Nombre de pages340
- ÉditeurCastillo Oscar, Pedrycz Witold
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Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control
Edité par
Springer Berlin Heidelberg, 2012
ISBN 10 : 3642260837
ISBN 13 : 9783642260834
Neuf
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Recent results in Evolutionary Design of Intelligent Systems in Modeling, Simulation and ControlWe describe in this book, new methods for evolutionary design of intelligent s- tems using soft computing and their applications in modeling, simulati. N° de réf. du vendeur 5054158
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Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control
Edité par
Springer Berlin Heidelberg, 2012
ISBN 10 : 3642260837
ISBN 13 : 9783642260834
Neuf
Taschenbuch
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - We describe in this book, new methods for evolutionary design of intelligent s- tems using soft computing and their applications in modeling, simulation and c- trol. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in four main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of evolutionary design of fuzzy systems in intelligent control, which consists of papers that propose new methods for designing and optimizing intelligent controllers for different applications. The second part c- tains papers with the main theme of evolutionary design of intelligent systems for pattern recognition applications, which are basically papers using evolutionary al- rithms for optimizing modular neural networks with fuzzy systems for response - tegration, for achieving pattern recognition in different applications. The third part contains papers with the themes of models for learning and social simulation, which are papers that apply intelligent systems to the problems of designing learning - jects and social agents. The fourth part contains papers that deal with intelligent s- tems in robotics applications and hardware implementations. In the part of Intelligent Control there are 5 papers that describe different c- tributions on evolutionary optimization of fuzzy systems in intelligent control. The first paper, by Ricardo Martinez-Marroquin et al. N° de réf. du vendeur 9783642260834
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Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control
Edité par
Springer Berlin Heidelberg Mrz 2012, 2012
ISBN 10 : 3642260837
ISBN 13 : 9783642260834
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -We describe in this book, new methods for evolutionary design of intelligent s- tems using soft computing and their applications in modeling, simulation and c- trol. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in four main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of evolutionary design of fuzzy systems in intelligent control, which consists of papers that propose new methods for designing and optimizing intelligent controllers for different applications. The second part c- tains papers with the main theme of evolutionary design of intelligent systems for pattern recognition applications, which are basically papers using evolutionary al- rithms for optimizing modular neural networks with fuzzy systems for response - tegration, for achieving pattern recognition in different applications. The third part contains papers with the themes of models for learning and social simulation, which are papers that apply intelligent systems to the problems of designing learning - jects and social agents. The fourth part contains papers that deal with intelligent s- tems in robotics applications and hardware implementations. In the part of Intelligent Control there are 5 papers that describe different c- tributions on evolutionary optimization of fuzzy systems in intelligent control. The first paper, by Ricardo Martinez-Marroquin et al. 340 pp. Englisch. N° de réf. du vendeur 9783642260834
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Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control (Studies in Computational Intelligence, 257)
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Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control
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Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control
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Etat : New. Print on Demand pp. 340 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam. N° de réf. du vendeur 11251968
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Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control (Studies in Computational Intelligence (257))
Edité par
Springer, 2012
ISBN 10 : 3642260837
ISBN 13 : 9783642260834
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