An efficient immune-based symbiotic particle swarm optimization learning algorithm for TSK-type neuro-fuzzy networks design

Fuzzy Sets and Systems

Volumn 159, Issue 21, 2008, Pages 2890-2909

  Lin, Cheng Jian ^a  

^a NATIONAL UNIVERSITY OF KAOHSIUNG   (Taiwan)

Author keywords

Immune algorithm; Particle swarm optimization; Prediction; Skin color detection; Symbiotic evolution; TSK type neuro fuzzy networks

Indexed keywords

CHLORINE COMPOUNDS; COMPUTER SCIENCE; CONVERGENCE OF NUMERICAL METHODS; EVOLUTIONARY ALGORITHMS; LEARNING ALGORITHMS; LEARNING SYSTEMS; MECHANISMS; OPTIMAL SYSTEMS; OPTIMIZATION; SKIN; SOLUTIONS; TECHNOLOGY;

CHAOTIC MAPPINGS; COMPLEX SOLUTIONS; COMPUTER SCIENCE AND ENGINEERING; ERGODICITY; GLOBAL CONVERGENCE; GLOBAL OPTIMAL SOLUTIONS; IMMUNE ALGORITHM; IMMUNE ALGORITHMS; LOCAL OPTIMAL SOLUTION; MUTATION MECHANISM; NEURO-FUZZY NETWORKS; PARTICLE SWARM OPTIMIZATION; PARTICLE SWARM OPTIMIZATIONS; PREDICTION; SEARCH CAPABILITIES; SKIN COLOR DETECTION; STOCHASTIC PROPERTIES; SYMBIOTIC EVOLUTION; TSK-TYPE NEURO-FUZZY NETWORKS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 50149108595     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fss.2008.01.020     Document Type: Article

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