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

摘要: 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。

Abstract: 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.