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Fuzzy Systems and Neural Networks

  • Larry R. Medsker

Abstract

Research and development in the use of fuzzy systems with neural networks has been proceeding at a rapid pace during the last few years and applications are starting to be developed. A natural integration follows the same successful path of hybrid neural network and expert systems by using fuzzy rule based systems instead of traditional expert systems. Thus all the various ways of integration are available for fuzzy connectionist systems. Additionally, neural networks can be used as tools for designing and tuning fuzzy systems. And, fuzzy principles can be used in the design of neural networks, embedding fuzziness in the internal workings of the basically neural system.

Keywords

Neural Network Membership Function Fuzzy Logic Fuzzy System Fuzzy Rule 
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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References for Further Reading

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Work on the integration of fuzzy logic and neural networks has been presented at numerous, diverse conferences. The majority of the papers appear in the following

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Other conference proceedings containing a few papers on fuzzy and neural systems are

  1. ICIFCIS (1993), Proceedings of the Third International Conference on Industrial Fuzzy Control and Intelligent Systems, Houston, December 1-3.Google Scholar
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Copyright information

© Springer Science+Business Media New York 1995

Authors and Affiliations

  • Larry R. Medsker
    • 1
  1. 1.Department of Computer Science and Information SystemsThe American UniversityUSA

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