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Fuzzy neural network for system modelling and control

  • Marian B. Gorzałczany
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 86)

Abstract

The neuro-fuzzy systems (with possible supportive usage of genetic algorithms) presented and discussed in Chapters 6, 7 and 8 implement one of two general ideas of combining artificial neural networks and fuzzy sets (see discussion in Chapter 5). This idea consists in using artificial neural networks within the framework of fuzzy modelling and designing fuzzy systems. This approach aims at providing fuzzy systems with tools for the automatic tuning of their parameters, but without changing their general functional structure. In particular, the fuzzy rule base is still present in these systems and they are interpretable in the domain context (they are said to be transparent).

Keywords

Fuzzy Neural Network Learning Data Controller Input Control Knowledge Output Block 
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

  • Marian B. Gorzałczany
    • 1
  1. 1.Department of Electrical and Computer EngineeringKielce University of TechnologyKielcePoland

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