精确实验数据曲线方程的求解  

Solving accurate experimental data curve equation

作　　者：商建平[1] 俞树荣[2] 

机构地区：[1]兰州石化职业技术学院机械系,甘肃兰州730060 [2]兰州理工大学石油化工学院,甘肃兰州730030

出　　处：《自动化与仪器仪表》2014年第12期171-172,共2页Automation & Instrumentation

基　　金：甘肃省教育厅科研基金资助项目(0915B-2);兰州石化职业技术学院院内资助项目(K09-07)

摘　　要：针对精确实验数据的曲线拟合方程化处理方法已不再适应高精度测试技术的问题,提出了用三次样条插值函数进行曲线方程化处理的新方法,并创建了用MATLAB语言编写遗传算法程序进行曲线斜率求解的方法,通过实例表明,采用遗传算法求解出的三次样条插值函数非常适合精确实验数据的曲线方程化处理。Curve fitting of the experimental data for the exact equation of adaptation approach is no longer high-precision testing technology, a new method using cubic spline interpolation function curve equation process and create a written program of genetic algorithms using MATLAB language a method for solving the slope of the curve, by examples show that the genetic algorithm a cubic spline interpolation curve equation is very suitable for accurate experimental data processing.

关 键 词：实验数据处理 样条插值函数 MATLAB语言 遗传算法 

分 类 号：TP311.132[自动化与计算机技术—计算机软件与理论]