Study on Prediction Model of Tourist Amount of Scenic Spot Based on BP Neural Network Algorithm

摘要

In recent years, the expansion of tourism market has put forward new requirements to strengthen the management of scenic spots, in this paper, it takes Mount Tai Scenic Area as the researching object, establishing the prediction model of tourist amount by using BP neural network algorithm, so as to predict the amount of tourists of scenic spots. Through the experimental result, we can know that the algorithm of this model is fast and effective. Therefore, it can verify the possibility of using neural network algorithm to predict tourist amount in the scenic spots.