摘要
介绍了采用BP人工神经网络模型matlab神经网络工具箱,通过训练得到瓦斯涌出量与影响因素之间的关系,预测大水头煤矿未开掘区域在开采时间内的瓦斯涌出量。
By training the relationship between gas emission and its influencing factors using BP artificial neural network model and matlab neural network toolbox,the paper predicted the gas emission during mining in Dashuitou Coal Mine.
出处
《陕西煤炭》
2012年第4期141-142,128,共3页
Shaanxi Coal
关键词
瓦斯涌出
关联度
神经网络
gas emission
correlation degree
neural network
