首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于改进的最小二乘法瓦斯涌出量预测
引用本文:沈仲辉,李希建.基于改进的最小二乘法瓦斯涌出量预测[J].工业安全与环保,2017,43(1).
作者姓名:沈仲辉  李希建
作者单位:贵州大学矿业学院 贵阳550025; 复杂地质矿山开采安全技术工程中心 贵阳550025; 贵州大学瓦斯灾害防治与煤层气开发研究所 贵阳550025
基金项目:国家自然科学基金,贵州省重大应用基础研究项目,贵州省教育厅项目(黔教合KY字,贵州大学研究生创新基金(研理工2016081)。
摘    要:通过对基于绝对误差最小的传统最小二乘法与在此基础上考虑相对误差的改进最小二乘法的比较,得知改进的最小二乘法预测更为准确。现场应用于鹤壁四矿的相对瓦斯涌出量随深度变化的预测,建立了瓦斯涌出量预测模型,通过预测值与实际值比较,证明改进的最小二乘法预测鹤壁四矿瓦斯涌出量是可行的、有效的,对指导煤矿安全生产具有重要意义。

关 键 词:最小二乘法  绝对误差  相对误差  瓦斯涌出量  预测

Gas Extraction Prediction Based on the Improved Least Square Method
SHEN Zhonghui,LI Xijian.Gas Extraction Prediction Based on the Improved Least Square Method[J].Industrial Safety and Dust Control,2017,43(1).
Authors:SHEN Zhonghui  LI Xijian
Abstract:By comparing the traditional method of least squares that based on the minimum absolute error and the improved method of least squares considering the relative error ,it was found out that the improved forecasting results are more accu-rate .The improved model was used in the field of the prediction relative methane emission variation with depth in Hebi Mine 4 ,the gas emission prediction model was established and by comparison of the predicted value and actual value ,it was proved that it was feasible and effective to predict the gas emission of Hebi Mine 4 by use of the improved model of least square ,significant to guide the production of coal mine safety .
Keywords:least square method  absolute error  relative error  gas extraction  prediction
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号