A hybrid expert system combining AI techniques with a neural-net

  • Authors:

  • M. E. Ulug

  • Affiliations:

  • GE Research and Development Center, Schenectady, New York

  • Venue:
  • IEA/AIE '89 Proceedings of the 2nd international conference on Industrial and engineering applications of artificial intelligence and expert systems - Volume 1
  • Year:
  • 1989

  • Hybrid expert system

    EHAC'05 Proceedings of the 4th WSEAS International Conference on Electronics, Hardware, Wireless and Optical Communications

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Abstract

This paper proposes an architecture for hybrid expert systems that combines AI techniques with a neural-net. These interactive hybrid expert systems are more powerful than existing systems because they can have a premise the veracity of which depends on the recognition of an object/curve/pattern.The operation of a hybrid expert system using a neural-net is described. This expert system is intended to be a diagnostic tool in a nuclear energy generation application. The architecture of a special neural-net designed for curve/object recognition is discussed.