DocumentCode :
1418612
Title :
Application of fuzzy logic in power systems. II. Comparison and integration with expert systems, neural networks and genetic algorithms
Author :
Song, Yong-hua ; Johns, Allan T.
Author_Institution :
Dept. of Electr. Eng., Brunel Univ., Uxbridge, UK
Volume :
12
Issue :
4
fYear :
1998
Firstpage :
185
Lastpage :
190
Abstract :
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.
Keywords :
fuzzy logic; artificial neural networks; evolutionary programming; expert systems; fuzzy expert systems; fuzzy logic; fuzzy logic application; fuzzy neural networks; fuzzy systems; genetic algorithm neural networks; genetic algorithms; neural expert systems; neural networks; neuro-fuzzy systems; power systems;
fLanguage :
English
Journal_Title :
Power Engineering Journal
Publisher :
iet
ISSN :
0950-3366
Type :
jour
DOI :
10.1049/pe:19980403
Filename :
709363
Link To Document :
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