摘要
本文将多元回归和BP神经网络相结合来预测矿井瓦斯涌出量,最优多元回归剔除了相关性不大因素,结合BP神经网络提高了瓦斯预测精度,得到影响瓦斯涌出量主要因素,对煤矿瓦斯安全管理具有一定指导意义。
The multiple regression and BP neural network were used to predict the amount of mine gas emission in this paper, excluding the little correlation factors by the optimal multiple regression, combined with the BP neural network can improve the prediction accuracy of gas to gas emission factors, has the certain instruction significance to the coal mine gas safety management.
出处
《山东煤炭科技》
2016年第3期98-100,共3页
Shandong Coal Science and Technology
关键词
瓦斯涌出量
最优多元归
BP神经网络
预测
gas emission quantity optimal multiple regression BP neural network prediction
