基于BP网络的矿井安全状况综合评价的研究

STUDY ON COMPREHENSIVE SAFETY ASSESSMENT OF COAL MINES BASED ON BP NEURAL NETWORK

针对目前煤矿安全状况方面存在的问题,以矿井安全为研究对象,建立了煤矿安全状况综合评价的指标体系;运用层次分析法确定指标及准则层的权重,并运用模糊综合评价法生成评价样本集。最后,利用样本训练BP网络,待误差满足要求后,即可运用训练成功的BP神经网络,进行矿井安全状况综合评价。

In view of the problem that considering safety status of coal mines at present, indicator system of comprehensive safety assessment of coal mines was established, and ANN training samples were got by AHP- Fuzzy assessment method. At last, we can use samples to train BP network and assess the coal mines＇ safety status by using the successful BP network after error meets a demand.