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Applications of fuzzy logic in power systems. Part 2: Comparison and integration with expert systems, neural networks and genetic algorithms

Applications of fuzzy logic in power systems. Part 2: Comparison and integration with expert systems, neural networks and genetic algorithms

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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.

Inspec keywords: fuzzy logic; expert systems; genetic algorithms; fuzzy neural nets; power system analysis computing

Other keywords: power systems; genetic algorithms; fuzzy systems; artificial neural networks; fuzzy expert systems; fuzzy logic; evolutionary programming; expert systems; neuro-fuzzy systems; neural networks; genetic algorithm neural networks; fuzzy logic application; fuzzy neural networks; neural expert systems

Subjects: Optimisation techniques; Neural computing techniques; Expert systems and other AI software and techniques; Optimisation techniques; Power system management, operation and economics; Power engineering computing; Optimisation

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