Evolutionary design of intelligent systems in modeling, simulation and control by Oscar Castillo

Cover of: Evolutionary design of intelligent systems in modeling, simulation and control | Oscar Castillo

Published by Springer in Berlin .

Written in English

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Subjects:

  • Hardwareentwurf,
  • Fuzzy systems,
  • Mehragentensystem,
  • Pattern recognition systems,
  • Soft computing,
  • Lernendes System,
  • Simulation,
  • Neuronales Netz,
  • Fuzzy-Regelung,
  • Soft Computing,
  • Intelligent control systems,
  • Mustererkennung,
  • Modellierung,
  • Fuzzy-Logik,
  • Evolutionsstrategie,
  • Aufsatzsammlung,
  • Robotik

Edition Notes

Includes bibliographical references and author index.

Book details

StatementOscar Castillo, Witold Pedrucz, and Janusz Kacprzyk (eds.).
SeriesStudies in computational intelligence -- v. 257
ContributionsPedrycz, Witold, 1953- ed
Classifications
LC ClassificationsTJ217.5 .E86 2009
The Physical Object
Paginationix, [327] p. :
Number of Pages327
ID Numbers
Open LibraryOL25286757M
ISBN 109783642045134, 9783642045141
LC Control Number2009937149
OCLC/WorldCa436030886

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We describe in this book, new methods for evolutionary design of intelligent s- tems using soft computing and their applications in modeling Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control (Studies in Computational Intelligence): Oscar Castillo, Witold Pedrycz: : Books.

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. Summary: 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.

About this title: 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.

Note: This is a general synopsis. Each listing is described below. This book presents new ideas, theories, models, technologies, system architectures and implementation of applications in intelligent scalable computing systems. In 15 chapters, several important Artificial Intelligence-based techniques, such as fuzzy logic, neural networks, evolutionary, and memetic algorithms are studied and implemented.

This book highlights current research and applications, addresses issues encountered in the development of applied systems, and describes a wide range of intelligent systems techniques, including neural networks, fuzzy logic, evolutionary strategy, and genetic by: 6. Autonomous Underwater Vehicles: Modeling, Control Design and Simulation Read more Evolutionary Design of Intelligent Systems in Modeling, Simulation and Control.

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