Abstract：The calorific value of coal is one of the most important indexes of coal quality analysis, and most of the industrial and mining enterprises usually use the coal industry analysis to calculate the calorific value of coal. According to the sample data of coal quality, the low calorific value of coal can be predicted through multiple linear regression analysis prediction model, which has very high accuracy, compared with the measured values. So it can be used to verify that the calorific value of coal determination of the accuracy of the results.
唐成亮. 多元线性回归分析在燃煤低位发热量测定中的应用[J]. 电气技术, 2016, 17(9): 111-113.
Tang Chengliang. Applicationof Multiple Linear Regression Analysis in the Determination of Low Calorific Value of Coal. Electrical Engineering, 2016, 17(9): 111-113.
2016, Vol. 17 
