in view of the large prediction error of the traditional prediction model of the number of overseas tourists，a RBF neural network prediction model of the number of overseas tourists is designed. Firstly，the tourism sample data is normalized，and the number of overseas tourists is counted. Then，the prediction model of overseas tourists based on RBF neural network is designed through five processes：prediction population construction，evaluation of fitness value，penalty item setting，prediction sequence stability test and model prediction. Finally，experiments show that the RBF neural network model designed in this paper has less error than the traditional model，and can accurately predict the number of overseas tourists.