Efficient algorithm for training interpolation RBF networks with equally spaced nodes

IEEE Transactions on Neural Networks

Volumn 22, Issue 6, 2011, Pages 982-988

  Huan, Hoang Xuan ^a   Hien, Dang Thi Thu ^b   Tue, Huynh Huu ^c  

^a VIETNAM NATIONAL UNIVERSITY   (Viet Nam)

^b University of Transport and Communications   (Venezuela)

^c Bac Ha International University   (Venezuela)

Author keywords

Contraction transformation; equally spaced nodes; fixed point; output weights; radial basis functions; width parameters

Indexed keywords

CONTRACTION TRANSFORMATION; EQUALLY SPACED NODES; FIXED-POINT; OUTPUT WEIGHTS; RADIAL BASIS FUNCTIONS; WIDTH PARAMETERS;

ALGORITHMS; COMPUTER SIMULATION; GAUSSIAN DISTRIBUTION; IMAGE SEGMENTATION; INTERPOLATION;

RADIAL BASIS FUNCTION NETWORKS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; COMPUTER SIMULATION; METHODOLOGY; MULTIVARIATE ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; COMPUTER SIMULATION; MODELS, STATISTICAL; MULTIVARIATE ANALYSIS; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED;

EID: 79957991143     PISSN: 10459227     EISSN: None     Source Type: Journal    
DOI: 10.1109/TNN.2011.2120619     Document Type: Article

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