A Comparison of Computational Efforts between Particle Swarm Optimization and Genetic Algorithm for Identification of Fuzzy Models

Fuzzy systems are rule-based systems that provide a framework for representing and processing information in a way that resembles human communication and reasoning process. Fuzzy modeling or fuzzy model identification is an arduous task, demanding the identification of many parameters that can be vi...

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Bibliographische Detailangaben

Hauptverfasser:	Khosla, A., Kumar, S., Ghosh, K.R.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Batteries Evolutionary computation Fuzzy systems Genetic algorithms Humans Knowledge based systems Particle swarm optimization Search methods Stochastic processes Training data
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