Applications Using Hybrid Neural Networks with Fuzzy Logic and Genetic Algorithms

  • Robert E. Uhrig
  • Anna Loskiewicz-Buczak
  • Zhicaho Guo


The preceding chapters covered the concepts and principles of the integration of neural networks with fuzzy logic and with genetic algorithms. This chapter presents three case studies of applications of these types of hybrid systems. They are examples of many projects carried out at The University of Tennessee and Oak Ridge National Laboratory by groups headed by Professor Robert E.Uhrig.


Genetic Algorithm Membership Function Fuzzy Logic Information Fusion Outer Race 
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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Copyright information

© Springer Science+Business Media New York 1995

Authors and Affiliations

  • Robert E. Uhrig
    • 1
  • Anna Loskiewicz-Buczak
    • 2
  • Zhicaho Guo
    • 3
  1. 1.University of Tennessee and Oak Ridge National LaboratoryUSA
  2. 2.Allied Signal CorporationUSA
  3. 3.Carrier CorporationUSA

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