摘要
针对现有煤矿安全程度评估方法存在的不足,探讨了一种基于人工神经网络的煤矿安全程度评估模型。阐述了这一方法的优点,并对其构建过程进行了详细分析。结合实例说明了其应用,结果表明使用人工神经网络方法对煤矿安全程度进行评估,能取得比较理想的评估效果。
In view of the weakness of existing evaluation methods for safety grade of coal mines, a new one based on artificial neural networks is investigated. The advantages of this model are described and the constructing process is also expounded. Finally, the application is illustrated with an example. It is found that the new method is effective.
出处
《工业工程》
2007年第1期112-115,共4页
Industrial Engineering Journal
关键词
煤矿
安全程度评估
人工神经网络
coal mines
artificial neural networks
safety grade evaluation