A hybrid algorithm to optimize RBF network architecture and parameters for nonlinear time series prediction

Applied Mathematical Modelling

Volumn 36, Issue 7, 2012, Pages 2911-2919

  Gan, Min ^a   Peng, Hui ^b   Dong, Xue Ping ^a  

^a HEFEI UNIVERSITY OF TECHNOLOGY   (China)

^b CENTRAL SOUTH UNIVERSITY   (China)

Author keywords

Hybrid training approach; Radial basis function network; Time series modeling

Indexed keywords

AUTOMATIC SELECTION; GRADIENT BASED; HIDDEN NODES; HYBRID ALGORITHMS; HYBRID APPROACH; HYBRID TRAINING; INPUT VARIABLES; MODELING ACCURACY; NETWORK PARAMETERS; NONLINEAR TIME SERIES; PARAMETER ESTIMATION METHOD; PREDICTION PROBLEM; RADIAL BASIS FUNCTIONS; REAL-CODED; TIME SERIES MODELING;

BENCHMARKING; GENETIC ALGORITHMS; NETWORK ARCHITECTURE; OPTIMIZATION; PARAMETER ESTIMATION; TIME SERIES;

RADIAL BASIS FUNCTION NETWORKS;

EID: 84858335611     PISSN: 0307904X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apm.2011.09.066     Document Type: Article

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