会议专题

The Research on the Forecasting of Forest Insect Pest Based on Fuzzy Neural Network

Forecasting of forest insect pest is an important part of the prevention for forest insect pest. The accurate predictions for insect pest can minimize loss of forests resources. This paper presents a method based on the fuzzy neural network which is applied into the forecasting of forest insect pest The method analyzes and processes the original data sample in the basis of fuzzy membership function,then learns and trains to the processed data by the BP neural network,and finally realizes the accurate forecasting of forest insect pest This paper compares the forecast error of multiple regression prediction,BP neural network prediction and fuzzy neural network forecasting,the results show that the fuzzy neural network method is the more precisely. Therefore,the prediction based on fuzzy neural network of forest insect pest has wide value in application.

fuzzy neural network forecasting of forest insect pest BP neural network

Wang Nihong Qi Ying

College of Information and Computer Engineering,Northeast Forestry University,Harbin 150040,China

国际会议

2010 International Forum on Computer Science-Technology and Applications(2010 国际计算机科学技术应用论坛 IFCSTA 2010)

南宁

英文

297-300

2010-12-10(万方平台首次上网日期,不代表论文的发表时间)