Fire Accident Forecast Based on Gray-back Propagation Networks
Tianxuan Hao · Industrial Safety and Environmental Protection · 2008
In this paper,BP networks model and gray system are combined,the artificial neural network is predicted by the combinatorial forecasting model to amend the residual error of GM(1,1) model and the fire accident forecast model is set up.This model has the advantages of both gray system and BP network.It can not only show the complex action of gray system,but also adjust the study rate according to the difference and accelerate the refrain velocity.Compared with GM(1,1),the model is more accurate.