An evolutionary approach toward dynamic self-generated fuzzy inference systems

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Volumn 38, Issue 4, 2008, Pages 963-969

  Zhou, Yi ^a   Er, Meng Joo ^b  

^a SINGAPORE POLYTECHNIC   (Singapore)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Fuzzy systems; Neural networks; Reinforcement learning

Indexed keywords

FUZZY RULES; FUZZY SETS; FUZZY SYSTEMS; GENETIC ALGORITHMS; LEARNING ALGORITHMS; MATHEMATICAL PROGRAMMING; REINFORCEMENT; REINFORCEMENT LEARNING; SOLUTE TRANSPORT; SYSTEMS ENGINEERING;

AUTOMATIC GENERATION; ENTIRE SYSTEM; EVOLUTIONARY APPROACHES; FUZZY INFERENCE SYSTEMS; NEURAL NETWORKS; SIMULATION STUDIES;

FUZZY INFERENCE;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; COMPUTER SIMULATION; EVOLUTION; FEEDBACK SYSTEM; FUZZY LOGIC; SYSTEM ANALYSIS; SYSTEMS THEORY; THEORETICAL MODEL;

ALGORITHMS; COMPUTER SIMULATION; EVOLUTION; FEEDBACK; FUZZY LOGIC; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); PROGRAMMING, LINEAR; SYSTEMS THEORY;

EID: 49049110915     PISSN: 10834419     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2008.922053     Document Type: Article

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