PSO-RBFNN algorithm optimization procedures Step 1. Sample data normalization treatment, about input and output normalized to [-1,1] interval 2. To determine the center and width of the RBF network 3. To the fitting error of the mean square roots as a performance index, using the PSO algorithm to optimize RBF network output layer to hidden layer connection weight matrices

PSO_base_RBF\LS.m
............\main.m
............\obf_pso.m
............\GetCenterandWidthofRBF.m
............\guiyi.m
PSO_base_RBF

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