摘要
Langmuir方程是常用的吸附等温线方程之一,Langmuir方程参数估计有线性回归和非线性回归2种方法。以实测数据为依据,采用IBM SPSS Statistics 24.0软件进行Langmuir方程参数线性回归与非线性回归的对比分析。结果表明:线性回归方法不满足相应曲线因变量的残差平方和最小,线性回归方法中对变量由无理数到有限小数的数值修约是引起舍入误差的原因。基于非线性回归方法对实测数据具有残差平方和较小的特点,在应用Langmuir方程求参数时建议采用非线性回归方法。
Langmuir equation is one of the commonly used adsorption isotherm equations, there are two methods of Langmuir equation parameters estimation: linear regression method and nonlinear regression method. Based on the measured data, this paper using the IBM SPSS Statistics 24.0 software to compare the linear regression method and nonlinear regression method of Langmuir equation parameters. The results show that the linear regression method does not satisfy the minimum of the residual sum of squares of the dependent variables of Langmuir equation, rounding off for values from the irrational number to finite decimal is the cause of round-off error in the linear regression method. Because the nonlinear regression method has the characteristics of smaller residual sum of squares of the measured data, the nonlinear regression method is recommended in the Langmuir equation.
作者
孟帅
朱绍军
MENG Shuai;ZHU Shaojun(School of Resources and Environment,Henan Polytechnic University,Jiaozuo 454000,China;The Fourth Exploration Team, Henan Bureau of Coal Geological Exploration,Zhengzhou 450016,China)
出处
《煤矿安全》
CAS
北大核心
2019年第1期188-191,共4页
Safety in Coal Mines
基金
河南省高校科技创新团队支持计划资助项目(17IRTSTHN025)
河南理工大学创新型科研团队支持资助项目(T2015-1)
关键词
LANGMUIR方程
线性回归
非线性回归
残差平方和
数值修约
舍入误差
吸附等温线
Langmuir equation
linear regression
nonlinear regression
residual sum of squares
rounding off for values
round-off error
adsorption isotherm
