Fusion of Tourism Industry and Develop-ment of Tourism Economy Based on BP Neural Network and Game Theory

Abstract

It is an objective requirement to formulate the scientific development strategy of the tourism economy and to improve the quality of regional tourism development to carry out the vulnerability assessment of the tourism economic system and the study of its influencing factors.On the basis of discussing the connotation of the fragility of the tourism economic system, the fragility of the tourism economic system from the two aspects of the sensitivity and responsiveness of the tourism economic system, and uses the BP artificial neural network model, the fragility evaluation index model, the geographic detector and other research methods. The methods include cooperative and non-cooperative games, which are prone to interests.Relevant conflicts in tourism cooperation, rural tourism and other aspects of research results are highly concentrated.The empirical analysis takes Jiuzhaigou as an example to predict the tourist flow in the next 22 weeks of the prediction period, it is found that the prediction error based on network search is significantly lower than the three benchmark models of time series, network search and BP neural network. This conclusion not only demonstrates the improvement of the prediction model in this paper, but also indicates the necessity of noise processing in prediction.