Identification of MIMO systems using radial basis function networks with hybrid learning algorithm

Applied Mathematics and Computation

Volumn 213, Issue 1, 2009, Pages 184-196

  Fu, Yu Yi ^a   Wu, Chia Ju ^a   Jeng, Jin Tsong ^b   Ko, Chia Nan ^c  

^a NATIONAL YUNLIN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b NATIONAL FORMOSA UNIVERSITY   (Taiwan)

^c NAN KAI UNIVERSITY OF TECHNOLOGY   (Taiwan)

Author keywords

Annealing robust learning algorithm; MIMO system; Radial basis function networks; Support vector regression; System identification

Indexed keywords

ANNEALING ROBUST LEARNING ALGORITHM; HIDDEN LAYER NODES; HYBRID LEARNING ALGORITHMS; ILLUSTRATIVE EXAMPLES; INITIAL PARAMETERS; INITIAL STRUCTURES; INITIAL WEIGHTS; LEAST SQUARES REGRESSIONS; MINIMIZATION PROBLEMS; MULTI-INPUT MULTI-OUTPUT SYSTEMS; SUPPORT VECTOR REGRESSION; SYSTEM IDENTIFICATION;

ANNEALING; ATTITUDE CONTROL; CURVE FITTING; DECODING; EDUCATION; HYBRID SYSTEMS; IDENTIFICATION (CONTROL SYSTEMS); LEARNING ALGORITHMS; LEARNING SYSTEMS; MIMO SYSTEMS; MULTIPLEXING; NETWORK LAYERS; NEURAL NETWORKS; REGRESSION ANALYSIS;

RADIAL BASIS FUNCTION NETWORKS;

EID: 67349238235     PISSN: 00963003     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.amc.2009.02.058     Document Type: Article

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