Improved GART neural network model for pattern classification and rule extraction with application to power systems

IEEE Transactions on Neural Networks

Volumn 22, Issue 12 PART 2, 2011, Pages 2310-2323

  Yap, Keem Siah ^a   Lim, Chee Peng ^b   Au, Mau Teng ^a  

^a Universiti Tenaga Nasional   (Malaysia)

^b SCHOOL OF PHYSICS   (Malaysia)

Author keywords

Fuzzy inference systems; generalized adaptive resonance theory; pattern classification; rule extraction

Indexed keywords

ADAPTIVE RESONANCE THEORY; DATA SETS; FUZZY INFERENCE SYSTEMS; IF-THEN RULES; LAPLACIANS; LIKELIHOOD FUNCTIONS; NEURAL NETWORK MODEL; ONLINE LEARNING; ORDERING ALGORITHMS; RULE EXTRACTION; TRAINING DATA;

FUZZY INFERENCE; ONLINE SYSTEMS; PATTERN RECOGNITION; POWER TRANSMISSION;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; DATA MINING; ELECTRICITY; FACTUAL DATABASE; FEEDBACK SYSTEM; METHODOLOGY; POWER SUPPLY; THEORETICAL MODEL;

DATA MINING; DATABASES, FACTUAL; ELECTRIC POWER SUPPLIES; ELECTRICITY; FEEDBACK; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED;

EID: 83655167009     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2011.2173502     Document Type: Article

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