BP神经网络理论在西南地区传统村落消防安全评估中的应用

Application of fire safety assessment of traditional village in southwest based on BP neural network

依据传统村落火灾危险性的影响因素,基于BP神经网络理论建立了西南地区传统村落消防安全评估的指标体系,该理论具有较高的抗干扰能力、容错性和较高的求解率,可用于评价传统村落的火灾危险性。为了验证该评估模型的有效性,将训练的神经网络模型应用到某传统村落的消防安全评估中,能够快速、准确地得到安全评价结果。该理论可为我国西南地区传统村落的防火性能评估和消防安全管理提供可靠的依据。

On the basis of traditional villages in the influence factors of fire risk,based on the theory of BP neural network,the traditional village in southwest of fire safety assessment index system is established. The theory has high anti-interference ability,fault tolerance and high solution rate and could be used to evaluate the fire risk of traditional villages. In order to verify the effectiveness of the proposed evaluation model,the training model is applied to the fire safety assessment of a traditional village,and able to quickly and accurately obtain safety evaluation results. The theory could provide feasible basis to the traditional village of southwest in fire protection performance evaluation and fire safety management.