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Do Smart Adaptive Systems Exist?

Best Practice for Selection and Combination of Intelligent Methods

  • Book
  • © 2005

Overview

  • Practical guide for experts from other areas and industrial users who are interested in building solutions to their problems using intelligent techniques
  • Focusing on best practices when using intelligent techniques and building systems requiring a degree of adaptation and intelligence
  • Bringing together experts from neural network, fuzzy, machine learning, evolutionary and hybrid systems communities

Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 173)

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Table of contents (17 chapters)

  1. Intelligent Systems: Architectures and Perspectives

  2. Problem Definition — From Applications to Methods

  3. Data Preparation and Preprocessing

  4. From Methods To Applications

  5. From Applications To Methods

Keywords

About this book

Do Smart Adaptive Systems Exist? is intended as a reference and a guide summarising and focusing on best practices when using intelligent techniques and building systems requiring a degree of adaptation and intelligence.

It is therefore not intended as a collection of the most recent research results, but as a practical guide for experts from other areas and industrial users interested in building solutions to their problems using intelligent techniques. One of the main issues covered is an attempt to answer the question of how to select and/or combine suitable intelligent techniques from a large pool of potential solutions.

Another attractive feature of the book is that it brings together experts from neural network, fuzzy, machine learning, evolutionary and hybrid systems communities who will provide their views on how these different intelligent technologies have contributed and will contribute to creation of smart adaptive systems of the future.

Editors and Affiliations

  • School of Design, Engineering & Computing, Bournemouth University, Poole, UK

    Bogdan Gabrys

  • Department of Process Engineering, Control Engineering Laboratory, University Oulu, Oulu, Finland

    Kauko Leiviskä

  • Institut für Mechanik, Lehrstuhl für Technische Dynamik, Universität Magdeburg, Magdeburg, Germany

    Jens Strackeljan

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