supported by National Natural Science Foundation of China(Grant Nos.61005007,60875012,61100161);National High-tech R&D Program(863 Program)(Grant No.2012AA011005);US National Science Foundation(Grant No.CCF-0905337);French ANR Foundation(Grant No.AVEIR ANR-06-MDCA-002);China Postdoctoral Science Foundation(Grant Nos.20100470825,201104324)
The radial basis function (RBF) centers play different roles in determining the classification capa- bility of a Gaussian radial basis function neural network (GRBFNN) and should hold different width values. Howev...