摘要
科技人员经常要对大量试验数据进行分析处理,以求找到一些变量间的因果关系。在进行数据处理时,会经常遇到非线性拟合问题。用三种线形为例,分别选择Exponential(自然指数)、Power(乘幂)和Boltzmann(玻耳兹曼)三种函数,以简单的操作步骤,进行非线性拟合,找出了变量间的因果关系,并举出应用实例。同时也介绍了拟合时应注意的事项及引申应用等问题。
The scientific and technical personnel often obtain causality relationship of variables,realize analysis and processing of mass test data.During data processing,they usually meet problems of non-linear curve fit.Three curves are used as actual examples.The paper selects three functions： Exponential、Power and Boltzmann separately.Simple operating procedures are used to fit non-linear curve.Causality relationships of variables are fined.And actual application examples are enumerated.Meanwhile,the paper describes attention matters of fitting curve and extended applications.
出处
《智能计算机与应用》
2013年第3期78-81,共4页
Intelligent Computer and Applications
关键词
数据处理
非线性拟合
变量间关系
应用实例
Data Processing
Non-linear Curve Fit
Variable Relationship
Application Examples
