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Application of fuzzy logic in power systems. II. Comparison and integration with expert systems, neural networks and genetic algorithms

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2 Author(s)
Yong-hua Song ; Dept. of Electr. Eng., Brunel Univ., Uxbridge, UK ; Johns, A.T.

For pt.I see ibid., vol.11, no.5,p.219-22 (1997). The first tutorial gave a general introduction to fuzzy logic and explained why fuzzy logic is needed. This second tutorial examines the comparison and integration with other intelligent techniques: expert systems, artificial neural networks, fuzzy systems, and evolutionary programming. The authors then discuss the following hybrid systems: fuzzy expert systems, neural expert systems, fuzzy neural networks, neuro-fuzzy systems, and genetic algorithm neural networks.

Published in:

Power Engineering Journal  (Volume:12 ,  Issue: 4 )

Date of Publication:

Aug. 1998

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