NONLINEAR SYSTEM IDENTIFICATION USING A NOVEL IMMUNE ARTIFICIAL FISH SWARM ALGORITHM
نویسندگان
چکیده
منابع مشابه
Nonlinear system identification using clustering algorithm and particle swarm optimization
The identification of nonlinear systems operating in a stochastic environment is an important problem in various discipline science and engineering. Fuzzy modeling and especially the T-S fuzzy model draw the attention of several researchers in recent decades this is due to their potential to approximate highly nonlinear behavior. An algorithm allowing the identification of the premise and conse...
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ژورنال
عنوان ژورنال: International Journal of Electronics and Electical Engineering
سال: 2014
ISSN: 2231-5284
DOI: 10.47893/ijeee.2014.1123