摘要
矿井通风系统安全评价是矿井通风安全现代化管理的重要内容。根据煤矿通风系统安全评价指标体系建立原则,建立多因素控制的煤矿安全评价BP人工神经网络模型。在此基础上,运用Matlab编制BP网络程序对网络进行训练,建立煤矿通风系统BP网络安全评价模型。预测结果表明,应用BP神经网络进行通风系统安全评价,网络收敛性满足要求,评价精度比较高。
Safety evaluation of the coal mine ventilation system is a substantial content in the modern management of ventilation safety. According to the principles for establishing the safety evaluation index system for coal mine ventilation system, the BP network multifactorial model of safety evaluation is established. On this basis, programmed the BP neural network and trained it by using Matlab, and the BP network safety evaluation model of coal mine ventilation system is set up. The prediction results show that applying the BP neural network to the safety evaluation of the ventilation system, the convergence of network meets the need and the precision of evaluation is fine.
出处
《煤矿机电》
2012年第5期72-74,共3页
Colliery Mechanical & Electrical Technology
关键词
通风系统
安全评价
BP学习算法
ventilation system
safety evaluation
BP learning algorithm