Matlab在化工数据及模型参数拟合中的应用  

Application of Matlab in chemical experiment data and model parameters fitting function

作　　者：李本祥[1] 董新荣[1] 曾盔[1] 

机构地区：[1]湖南农业大学理学院应用化学系,湖南长沙410128

出　　处：《计算机与应用化学》2007年第9期1197-1200,共4页Computers and Applied Chemistry

基　　金：湖南农业大学教研基金(20048055)

摘　　要：在化工研究中,经常需要将实验数据拟合为数学模型,以定量描述过程或现象自变量与因变量之间的关系,模型参数的求取,一般采用最小二乘法。本文介绍了Matlab语言中利用最小二乘法以求取模型参数的几种功能函数及使用方法,通过举例对单变量曲线拟合、多变量曲线拟合及微分形式拟合进行了介绍,说明Matlab语言可拟合大部分实验数据,达到节约数据处理的时间,提高模型参数精度的目的。It is often necessary to fit the experimental data into mathematics model in the research of chemical issues so as to describe the relation between independent variable and dependent variable in the procedure or phenomenon quantitatively. Least-square method is one of the major way to acquire model parameters. Several function and using method to acquire the model parameters by means of Matlab are listed in this paper. By way of examples the paper gives a brief introduction to univariable curve fitting, muhivariable curve fitting and differential expression fitting. It is showing that by Matlab the fitting of most experimental data can be realized, so that the time spent on experimental data procession can be economized and the precision of the model parameters can be improved.

关 键 词：MATLAB 化工数据 模型参数 拟合 函数 

分 类 号：TQ015.9[化学工程]