An optimizing method of RBF neural network based on genetic algorithm

Neural Computing and Applications

Volumn 21, Issue 2, 2012, Pages 333-336

  Ding, Shifei ^a,b   Xu, Li ^a   Su, Chunyang ^a   Jin, Fengxiang ^c  

^a CHINA UNIVERSITY OF MINING AND TECHNOLOGY   (China)

^b INSTITUTE OF COMPUTING TECHNOLOGY   (China)

^c SHANDONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Algorithm; Genetic algorithm (GA); Network structure; Network weight; Radial basis function (RBF)

Indexed keywords

BINARY ENCODINGS; CLASSIFICATION ABILITY; GENERALIZATION ABILITY; HYBRID ENCODING; INTELLIGENT LEARNING; LEARNING ABILITIES; LEAST MEAN SQUARE METHOD; NETWORK STRUCTURE; NETWORK WEIGHT; PSEUDO-INVERSE METHOD; RADIAL BASIS FUNCTION NEURAL NETWORKS; RADIAL BASIS FUNCTIONS; RBF NEURAL NETWORK; RBF NEURAL NETWORK LEARNING; TRADITIONAL LEARNING;

ALGORITHMS; ENCODING (SYMBOLS); GENETIC ALGORITHMS; INVERSE PROBLEMS; LEARNING ALGORITHMS; NETWORK ARCHITECTURE; NEURAL NETWORKS; OPTIMIZATION; RADIAL BASIS FUNCTION NETWORKS;

NETWORK CODING;

EID: 84857644975     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-011-0702-7     Document Type: Article

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