A novel genetic reinforcement learning for nonlinear fuzzy control problems

Neurocomputing

Volumn 69, Issue 16-18, 2006, Pages 2078-2089

  Lin, Cheng Jian ^a   Xu, Yong Ji ^a  

^a CHAOYANG UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

Efficient mutation; Fuzzy system; Genetic algorithm; Nonlinear control; Reinforcement learning; Sequential search

Indexed keywords

COMPUTER SIMULATION; CONVERGENCE OF NUMERICAL METHODS; FUZZY CONTROL; GENETIC ALGORITHMS; NONLINEAR CONTROL SYSTEMS; PROBLEM SOLVING;

FUZZY CONTROL PROBLEMS; FUZZY SYSTEMS; GENETIC REINFORCEMENT LEARNING; NONLINEAR FUZZY CONTROL;

LEARNING SYSTEMS;

ARTICLE; BIOINFORMATICS; CHROMOSOME; GENE MUTATION; GENETIC ALGORITHM; INFORMATION PROCESSING; INTERMETHOD COMPARISON; MATHEMATICAL MODEL; NONLINEAR SYSTEM; PERFORMANCE; PRIORITY JOURNAL; QUALITY CONTROL; SIMULATION;

EID: 33748600965     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2005.09.015     Document Type: Article

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