译 名：
The Prediction of the Forest Fire Based on the Artificial Neural Network
作 者：
WANG Dan-dan1,HUANG Jia-rong1,LIU Wei1,MENG Qing-ling1,TIAN Peng-fei2(1.College of Forestry,Henan Agricultural University,Zhengzhou,Henan 450002,China; 2.Forestry Bureau of Dengfeng County,Dengfeng,Henan 452470,China)
关键词：
forest fire prediction;artificial neural network;Dengfeng
摘 要：
Meteorological factors related to forest fire are temperature,humidity,precipitation,and wind.Based on the analysis of the specific situations of forest fire occurrence in Dengfeng County,Henan Province,China,the prediction model of forest fire was established by using BP artificial neural network.It was found that the preferable neural network was 6∶5∶1,the fitting degree of accuracy was 97%,and 98% of the samples' fitting errors were not more than 0.000 7,indicating that the fitting was satisfactory.
