Abstract:

Dynamic data driven application system can improve simulation performance and accuracy by collecting and incorporating dynamic data from fire area. Based on BP artificial neural network,a frame construction of forest fire model selection of suitability was designed. Forest fire model selection knowledge was produced through BP artificial neural network. The system implemented automatic and intelligent selection of forest fire models. BP artificial neural network model of forest fire model selection was build by treating forest fire environment data as input variables and treating appropriate forest fire model as output variables. Additionally,we studied the methods acquiring and calculating data of input and output. The system implemented a mechanism of automatic model selection driven by dynamic data technology. We selected 72 items experimental data from historical forest fire records in Beijing to test and confirm the validity of model selection. It was found that the reliability of model selection was more than 80%.

Key words: model selection, BP artificial neural network, forest fire spread simulation