基于BP神经网络的东北贮木场火灾危险等级评定

摘要

By applying the theory and method of BP neural network, according to the complexity and nonlinear of fire hazards evaluation index of northeast lumberyard, a fire danger rating model of Northeast lumberyard was established, which implemented the fire risk grade evaluation of northeast lumberyard. The feasibility of the model was validated through the examples. It showed that the fire risk grade evaluation model based on BP neural network has a guiding role on fire safety management and prediction of the Northeast lumberyard, and provides scientific theoretical basis for related department.%应用BP神经网络的理论和方法,针对东北贮木场火灾危险评定指标的复杂性和非线性,建立东北贮木场火灾危险等级评定模型,实现对东北贮木场火灾危险等级的评定.通过实例运用验证了模型的可行性,表明基于BP神经网络的火灾危险等级评定模型对东北贮木场火灾安全管理及预测具有指导作用,为相关部门提供了科学的理论依据.