Abstract
With the development of modern rural tourism, it has become people’s spiritual demand to deeply tap the characteristic rural culture and continuously enhance the attraction of rural tourism. However, due to the complex tourism market environment, small changes in factors will affect the final result. Therefore, traditional methods cannot accurately predict the future tourism market. In view of this situation, this paper uses the mathematical algorithm of BP neural network to simulate the structure of brain neural network to deal with this kind of nonlinear relationship problem. Through the classification of complex and changeable factors, the modeling is completed systematically, and finally the effective prediction results are obtained. For the analysis of the time evolution of tourism resources development, it can be found from the policy development theory that the innovative development presents the characteristics of S‐shaped curve in time; that is, the number adopted in the initial stage of development is less, then enters the rapid development period, and finally develops slowly. This study will help to solve the primary problem of balancing the positive and negative effects of rural tourism development and realizing the sustainable development of coastal villages.
Highlights
As the industrial revolution has driven the innovation and progress of various industries, and after decades of development, the level of economy and culture in the society has reached a certain height [1]
More and more people recognize the importance of a healthy ecological environment to human beings and pay more and more attention to ecological protection [4]
The spiritual and cultural needs emerge after tourism has certain height of social development. e protection of ecological environment is very obvious in the tourism industry and different from the previous tourism development which only focuses on economic benefits [5]. e development of ecotourism has been more and more in recent years due to the increasing demand for ecotourism [6]
Summary
As the industrial revolution has driven the innovation and progress of various industries, and after decades of development, the level of economy and culture in the society has reached a certain height [1]. In contradiction to the development and prosperity of the human economy and culture, the natural ecological environment has been severely damaged [2]. E protection of ecological environment is very obvious in the tourism industry and different from the previous tourism development which only focuses on economic benefits [5]. Erefore, it is necessary to make relevant analysis on the ecotourism industry and predict the demand for tourism and the law of tourism, so as to make a better plan for the development of ecotourism [9]. E research of ecotourism market based on BP neural network can make a good prediction of tourism demand, effectively optimize tourism planning, and promote the healthy development of ecotourism [10].
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