摘要
针对影响掘进工作面瓦斯涌出量的主要因素,采用最小二乘支持向量机(LS-SVM)方法,对掘进工作面瓦斯涌出量的影响因素进行分析,构建掘进工作面预测模型,并在Matlab中编制预测软件。通过对训练样本进行训练,得到数学模型较好的参数值。该方法具有计算速度快、预测准确性高、操作简单等优点,满足掘进工作面瓦斯涌出预测的要求。
According to the main factors affecting the amount of gas emission from the heading face,the least squares support vector machine(LS-SVM)is used to analyze the influencing factors of the gas emission in the heading face,and the prediction model of the heading face is constructed.Prediction software is compiled based on Matlab.By testing the training samples,the better parameter values of the mathematical model are obtained.The method has the advantages of fast calculation speed,high prediction accuracy,simple operation,etc.,and meets the requirements of gas emission prediction in the heading face.
作者
杨键
孙章应
李炳玉
Yang Jian;Sun Zhang-ying;Li Bing-yu(Yuwu Coal Industry Co.,Ltd.,Shanxi Lu’an Group,Shanxi Changzhi 046103)
出处
《山东煤炭科技》
2019年第9期103-105,共3页
Shandong Coal Science and Technology
