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Hybrid Intelligent Systems

Analysis and Design

  • Book
  • © 2007

Overview

  • Presents successful new applications of SC to real-world problems leading to better performance than "traditional" methods

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 208)

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Table of contents (25 chapters)

  1. Theory

  2. Intelligent Control Applications

  3. Robotic Applications

Keywords

About this book

We describe in this book, new methods for analysis and design of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several computing paradigms, including fuzzy logic, neural networks, and genetic algorithms, which can be used to produce powerful hybrid intelligent systems for solving problems in pattern recognition, time series prediction, intelligent control, robotics and automation. Hybrid int- ligent systems that combine several SC techniques are needed due to the complexity and high dimensionality of real-world problems. Hybrid int- ligent systems can have different architectures, which have an impact on the efficiency and accuracy of these systems, for this reason it is very - portant to optimize architecture design. The architectures can combine, in different ways, neural networks, fuzzy logic and genetic algorithms, to achieve the ultimate goal of pattern recognition, time series prediction, - telligent control, or other application areas. This book is intended to be a major reference for scientists and en- neers interested in applying new computational and mathematical tools to design hybrid intelligent systems. This book can also be used as a textbook or major reference for graduate courses like the following: soft computing, intelligent pattern recognition, computer vision, applied artificial intel- gence, and similar ones. We consider that this book can also be used to get novel ideas for new lines of research, or to continue the lines of research proposed by the authors of the book.

Editors and Affiliations

  • Department of Computer Science, Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo

  • Department of Computer Science, Tijuana Institute of Technology, Chula Vista, USA

    Patricia Melin

  • Polish Academy of Sciences, Systems Research Institute, Warszawa, Poland

    Janusz Kacprzyk

  • Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada

    Witold Pedrycz

Bibliographic Information

  • Book Title: Hybrid Intelligent Systems

  • Book Subtitle: Analysis and Design

  • Editors: Oscar Castillo, Patricia Melin, Janusz Kacprzyk, Witold Pedrycz

  • Series Title: Studies in Fuzziness and Soft Computing

  • DOI: https://doi.org/10.1007/978-3-540-37421-3

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2007

  • Hardcover ISBN: 978-3-540-37419-0Published: 31 October 2006

  • Softcover ISBN: 978-3-642-07223-9Published: 19 November 2010

  • eBook ISBN: 978-3-540-37421-3Published: 23 July 2007

  • Series ISSN: 1434-9922

  • Series E-ISSN: 1860-0808

  • Edition Number: 1

  • Number of Pages: XV, 433

  • Topics: Theory of Computation, Mathematical and Computational Engineering, Artificial Intelligence

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