A new fuzzy identification approach for complex systems based on neural-fuzzy inference network

Zidonghua Xuebao/Acta Automatica Sinica

Volumn 32, Issue 5, 2006, Pages 695-703

  Li, Jia Ning ^a,b   Yi, Jian Qiang ^a   Zhao, Dong Bin ^a   Xi, Guang Cheng ^a  

^a INSTITUTE OF AUTOMATION   (China)

^b INSTITUTE OF SCIENTIFIC AND TECHNICAL INFORMATION OF CHINA   (China)

Author keywords

Fuzzy identification; Neural fuzzy network; Rule extraction; Supervised learning; Unsupervised learning

Indexed keywords

COMPUTER SIMULATION; LEARNING ALGORITHMS; MEMBERSHIP FUNCTIONS; OPTIMIZATION;

COMPLEX SYSTEMS; FUZZY IDENTIFICATION; INPUT-OUTPUT DATA; NEURAL FUZZY NETWORK; PARAMETER IDENTIFICATION; RULE EXTRACTION; STRUCTURE IDENTIFICATION; SUPERVISED LEARNING; UNSUPERVISED LEARNING;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 33750898305     PISSN: 02544156     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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