A modeling method by radial basis function(RBF)network based on enhanced global K’-means algorithm(EGK’M)was presented.An EGK’M algorithm was proposed to determine the hidden layer structure of RBF network

including the number of hidden layer nodes

the position of each center and the width of basis function.KPCA algorithm was used to extract non-linear feature information and to achieve secondary selection of auxiliary variable.The obtained model was compared with the model based on principle components analysis with EGK’M-RBF and the model based on KPCA with RBF network based on K’-means algorithm.Experiment results demonstrate that the model proposed in this paper gives better predictive ability

smaller absolute error and mean square error.