Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control
Language: English
Published by Springer Berlin Heidelberg, 2012
- Softcover
- New

Condition: New
£ 117.39
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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.
Seller Inventory # 5054158
- Title
- Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control
- Author
- Castillo, Oscar|Pedrycz, Witold
- Publisher
- Springer Berlin Heidelberg
- Publication year
- 2012
- Condition
- New
- Binding
- Kartoniert / Broschiert
- Language
- English
- ISBN 10
- 3642260837
- ISBN 13
- 9783642260834
- Seller catalogs
- Mathematik/Naturwissenschaften/Technik/Medizin
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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