Research on Evaluation of Karst Wetland Ecotourism Benefits Based on Improved BP Algorithm

Abstract

In the development of tourism resources of karst wetland type, the role of tourism benefits is often uncertain due to the joint action of various environmental factors. When traditional methods are used to evaluate the effect of the development of karst wetland tourism resources on tourism benefits, the accuracy of the evaluation is reduced due to the large influence of objective factors in the selection of relevant technical parameters. Therefore, an evaluation method of the effect of the development of tourism resources of karst wetland type on tourism benefits is proposed based on the mechanism of environmental conditions. After normalizing the actual value of the effect of the karst wetland ecological factors on China's tourism, a neural network model of the effect of the ecological tourism development process based on the environmental constraint mechanism is established, which makes up for the corresponding errors in the model. At the same time, the effect of different types of karst wetland ecological factors on the benefits of China's tourism was trained, and the training results were input into the data to finally obtain more accurate evaluation data. The experimental results show that the improved method can effectively improve the accuracy of the evaluation, thus greatly improving the evaluation efficiency.