Abstract：Tourist quantity is the key factor of existence and development to toruist industry. Tourist site may constitute reception scale according to tourist quantity. So it is very important and necessary to forecast tourist quantity. A tourist quantity forecast method based on artificial neural networks is proposed to forecast tourist quantity. First the paper introduces the basic theory and model of the neural network and the process of Back propagation Algorithm. Based on the above, a neural network model is constructed aiming at particular problem of tourist quantity from abroad. The model forecast exact tourist quantity from abroad in recent years and its effect is compared with the traditional method. The results indicate that the method forecast tourist quantity efficiently. Its effect is better than traditional method and has good exactness and robustness.
