基于多元回归法的气体浓度预测方法

Forecasting Gas Concentration Based on Multiple Regression

从分析气体浓度预测的基本特性入手,设计与实现一种基于多元回归法的气体浓度预测方法。通过分析各种因素对预测结果的影响来选择预测的模型,将多元回归法应用到气体浓度的预测,以建立气体浓度预测模型,并采用图表的方式直观地显示预测结果。应用结果表明:该方法可以有效地对气体浓度进行预测,且预测精度可以满足实际需求。

By analyzing the basic characteristics of gas concentration forecasting, a gas concentration forecasting method based on multiple regression was designed and implemented. The forecasting model was selected by analyzing the effects of various factors on forecasting results. The multiple regression method was applied to forecast gas concentration, thus establishing the gas concentration forecasting model and displaying the results by charts. The application results show that the proposed method is effective for gas concentration forecasting and the accuracy can meet the actual requirements.