Recurrent neuro-fuzzy hybrid-learning approach to accurate system modeling

Fuzzy Sets and Systems

Volumn 158, Issue 2, 2007, Pages 194-212

  Li, Chunshien ^a   Cheng, Kuo Hsiang ^b  

^a NATIONAL UNIVERSITY OF TAINAN   (Taiwan)

^b CHANG GUNG UNIVERSITY   (Taiwan)

Author keywords

Hybrid learning (HL); Least square estimation (LSE); Modeling; Random optimization (RO); Recurrent neuro fuzzy system (RNFS); System identification

Indexed keywords

CONFORMAL MAPPING; FUZZY SETS; IDENTIFICATION (CONTROL SYSTEMS); LEAST SQUARES APPROXIMATIONS; MEMBERSHIP FUNCTIONS; PROBLEM SOLVING; RECURRENT NEURAL NETWORKS; SIGNAL DETECTION;

HYBRID LEARNING (HL); RANDOM OPTIMIZATION (RO); RECURRENT NEUROFUZZY SYSTEM (RNFS);

LEARNING ALGORITHMS;

EID: 33751245602     PISSN: 01650114     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.fss.2006.09.002     Document Type: Article

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