Tourist traffic prediction method based on the RBF neural network

Li-Juan Liu

Abstract

It is of great significance for scenic spots to establish an accurate prediction model which can reflect on tourist flow and has quantitative relation with other factors. For this reason, a tourist traffic prediction method is proposed based on the RBF neural network. This method has greatly improved work efficiency, provided guarantee for the stability of numerical tourist traffic prediction.