Put Non-linear Curve Fit of Data Processing in Practice
Hao Huixin
Abstract
Hao Huixin
Abstract
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.
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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.
Key concepts: Curve fitting, Computer science, Exponential function, Data processing, Causality (physics), Simple (philosophy), Algorithm, Data mining