摘要
精确预测矿井工作面瓦斯涌出量对安全生产起着至关重要的作用。通过提取主成分可以解决瓦斯涌出量各影响因素之间的线性相关问题,降低模型受各因素影响之间的误差,以此建立预测模型具有较高的精度。
Accurate prediction of the mine working face gas emission plays an vital role in safety production, Gas gas emission by extracting principal component can solve the problem of linear correlation between various influencing factors, reduce the error between the model affected by various factors, to establish a prediction model has higher precision.
出处
《山东煤炭科技》
2015年第12期100-101,105,共3页
Shandong Coal Science and Technology
关键词
瓦斯涌出量
主成分分析
预测模型
partial least-squares
cross validity analysis
prediction model
