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Conclusions

  • Plamen P. Angelov
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 92)

Abstract

This book aims to make a step in the direction of setting the basis for understanding, design and analysis of intelligent or evolving flexible systems. Systems that are able to grow-up in the process of data acquisition starting from no or minimum ‘a priori’ information. Systems that are able to adapt to the changes (either external or internal ones) renovating both their structure and parameters on-line. Systems that re-use, inherit the positive, useful information from the previous historical cases.

Keywords

Genetic Algorithm Membership Function Linguistic Term Flexible Model Consequent Part 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Plamen P. Angelov
    • 1
  1. 1.Department of Civil and Building EngineeringLoughborough UniversityLoughboroughUK

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