%A Wei ZHAO, Ye SAN
%T RBF neural network based on q-Gaussian function in function approximation
%0 Journal Article
%D 2011
%J Front. Comput. Sci.
%J Frontiers of Computer Science
%@ 2095-2228
%R 10.1007/s11704-011-1041-7
%P 381-386
%V 5
%N 4
%U {https://journal.hep.com.cn/fcs/EN/10.1007/s11704-011-1041-7
%8 2011-12-05
%X
To enhance the generalization performance of radial basis function (RBF) neural networks, an RBF neural network based on a q-Gaussian function is proposed. A q-Gaussian function is chosen as the radial basis function of the RBF neural network, and a particle swarm optimization algorithm is employed to select the parameters of the network. The non-extensive entropic index q is encoded in the particle and adjusted adaptively in the evolutionary process of population. Simulation results of the function approximation indicate that an RBF neural network based on q-Gaussian function achieves the best generalization performance.