Xi'an Aeronautical University, Xi'an Shanxi 710077, China
Now, analysis of the tourism market in the future period of time usually uses time series prediction and causal model prediction. However, due to the complicated tourism market environment, the small change of factor will affect the final result. Therefore, these methods can’t predict the future market conditions of tourism very accurately. Since BP neural network is a mathematical algorithm for simulating the structure of the brain's neural network, it has a very good processing capability for such non-linear relationship problems, can sort out complicated and various factors and finish the model building systematically, and finally get the effective forecast result. Prediction of the tourism market is a typical multi-factor impact, and there are a lot of unknown factors of nonlinear relationship, so BP neural network is very suitable for analysis and processing of tourism market.
Eco-tourism market; BP neural network; Demand forecasting model
Huize Chen. Construction and Application of Forecast Model for Eco-Tourism Market Demand Based on BP Neural Network. The Frontiers of Society, Science and Technology (2019) Vol. 1 Issue 6: 87-95. https://doi.org/10.25236/FSST.2019.010617.
 Thi N, Wen Z (2017). Predictive Study of Eco-tourism Market Demand Based on Grey Model (1, N)--A Case Study of Phong Nha-Ke Bang, Quang Binh, Vietnam. Journal of Green Science & Technology, vol.11, no.8, pp.27-28.
 Xiao-Jing M A (2017). Ethnic eco-tourism: an effective model for protective development of ethnic tourism. Human Geography, vol.72, no.3, pp.961-980.
 He X Q, Liu Y (2016). Discussion on the development model and path of rural eco-tourism in Chongyi county. Guizhou Agricultural Sciences, vol.37, no.4, pp.179-181.
 Zhokhova V (2016). Model of competitiveness of eco-tourism product (by the example of tourism organizations in primorsky krai). Middle East Journal of Scientific Research, vol.18, no.3, pp.488-492.
 Chen L, Wang S H, Ding H F, et al (2016). The research on development strategy of eco-tourism on desert island. Economic Geography, vol.38, no.3, pp.211-216.