Identification and prediction of dynamic systems using an interactively recurrent self-evolving fuzzy neural network

IEEE Transactions on Neural Networks and Learning Systems

Volumn 24, Issue 2, 2013, Pages 310-321

  Lin, Yang Yin ^a   Chang, Jyh Yeong ^a   Lin, Chin Teng ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

Author keywords

Dynamic sequence prediction; Fuzzy identification; On line fuzzy clustering; Recurrent fuzzy neural networks

Indexed keywords

CLUSTERING ALGORITHMS; FUZZY RULES; IDENTIFICATION (CONTROL SYSTEMS); PARAMETER ESTIMATION;

DYNAMIC SEQUENCES; FUNCTIONAL LINK NEURAL NETWORK; FUZZY IDENTIFICATION; GRADIENT DESCENT ALGORITHMS; KALMAN FILTER ALGORITHMS; NONLINEAR FUNCTIONS; PARAMETER LEARNING; RECURRENT FUZZY NEURAL NETWORK;

FUZZY NEURAL NETWORKS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; FORECASTING; FUZZY LOGIC;

ALGORITHMS; FORECASTING; FUZZY LOGIC; NEURAL NETWORKS (COMPUTER);

EID: 84883257812     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2012.2231436     Document Type: Article

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