Performance comparison of regression prediction on support vector machine and RBF neural network

The support vector machine(SVM) and RBF neural network have their respective advantages and defects while using in regression prediction.By study of SVM and RBF natural network,the paper firstly analyzes the two kinds of learning machines used in regression theoretically.And secondly,the experiments are done to compare their approximation and generalization abilities.The experiment results show that the approximation and generalization abilities of SVM are better than RBF neural network for the small dataset.Then the selection recommendation of the regression model for the practical application is proposed.