| Title:
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EVOLUTIONARY DESIGN OF INTELLIGENT SYSTEMS IN MODELING, SIMULATION AND CONTROL
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| By: |
Oscar Castillo (Editor), Witold Pedrycz (Editor), Janusz Kacprzyk (Editor) |
| Format: |
Hardback |
| List price:
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£179.99 |
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| ISBN 10: |
3642045138 |
| ISBN 13: |
9783642045134 |
| Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
| Pub. date: |
8 October, 2009 |
| Edition: |
2010 ed. |
| Series: |
Studies in Computational Intelligence 257 |
| Pages: |
327 |
| Description: |
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. |
| Synopsis: |
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. |
| Illustrations: |
96 Tables, black and white; IX, 327 p. |
| Publication: |
Germany |
| Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
| Returns: |
Returnable |