VNU-UET Repository: No conditions. Results ordered -Date Deposited. 2024-03-28T19:58:48ZEPrintshttp://eprints.uet.vnu.edu.vn/images/sitelogo.pnghttps://eprints.uet.vnu.edu.vn/eprints/2016-06-02T03:53:35Z2016-06-02T03:53:35Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/1634This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/16342016-06-02T03:53:35ZAn Effective Solution to Regression Problem by RBF Neuron NetworkRadial Basis Function RBF neuron network is being applied widely in multivariate function regression. However, selection of neuron number for hidden layer and definition of suitable centre in order to produce a good regression network are still open problems which have been researched by many people. This article proposes to apply grid equally space nodes as the centre of hidden layer. Then, the authors use k-nearest neighbour method to define the value of regression function at the center and an interpolation RBF network training algorithm with equally spaced nodes to train the network. The experiments show the outstanding efficiency of regression function when the training data has Gauss white noise.Dang Thi Thu HienHoang Xuan HuanLe Xuan Minh Hoang