Research On Evaluation Of Forestry E-commerce Service Website Based On Bp Neural Network

Since1978, the forestry industry has been developed rapidly, Forestry e-commerce is in the ascendant, and hundreds of forestry e-commerce service websites appeared. As far as now, the service quality of China’s forestry e-commerce web sites varies and still exist a lot of problems. Therefore, the article evaluates the service quality of forestry e-commerce web sites, which is of great significance to standardize the service behavior and promote the healthy development of forestry e-commerce.Based on the review of the research status on website evaluation, the article made an exploratory research on evaluation index system of forestry e-commerce service websites and evaluation methods. Firstly, we collected106forestry e-commerce service websites through the search engines and Web site theme found tools, and then did statistics and analysis on these websites. Then the article summarized the characteristics of China’s forestry e-commerce service websites. Secondly, According to the characteristic of forestry e-commerce websites in China, based on the literature study, constructed the evaluation index system of forestry e-commerce service websites. And then, in view of comprehensive evaluation of websites is subjective, vague, and nonlinear, the BP neural network method was applied to the evaluation of forestry e-commerce service websites, And then we constructed the BP evaluation model of forestry e-commerce service websites, and then do simulation and test on the model through Matlab. The research result shows that the the evaluation model of forestry e-commerce service website we constructed can make scientific and reasonable evaluation on new websites without users’ and the experts’ opinions. And it is a beneficial attempt to use BP neural network in website evaluation area. Finally, the article made some discussion on the areas which are in need of improvement.