FA-RBF neural network algorithm is proposed by combining factor analysis algorithm

which has advantage of reducing the datas dimensions

with RBF neural network.Using the new algorithm

the original data can first reduce its dimension

then

the processed data can be the input of neural network to network training and simulation.FA-RBF algorithm can effectively simplify the network structure

improve the convergence speed and save training time.Apply the algorithm for the prediction of private car ownership

the prediction results show that compared to PCA-RBF and RBF neural network algorithm FA-RBF algorithm significantly improved prediction accuracy

reduced training time and the sum of squared errors.