Training radial basis neural networks with the extended Kalman filter

Neurocomputing

Volumn 48, Issue 1-4, 2002, Pages 455-475

  Simon, Dan ^a  

^a Cleveland State University   (United States)

Author keywords

Gradient descent; Kalman filter; Optimization; Radial basis function (RBF); Training

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; KALMAN FILTERING; PATTERN RECOGNITION; PROBLEM SOLVING;

NETWORK TRAINING;

RADIAL BASIS FUNCTION NETWORKS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; COMPUTER SIMULATION; COMPUTER SYSTEM; CONTROLLED STUDY; FILTER; HUMAN COMPUTER INTERACTION; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; PROBLEM SOLVING; REVIEW; SIGNAL PROCESSING; TRAINING;

EID: 0036826054     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(01)00611-7     Document Type: Review

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