摘要
采用遗传算法拟合甘油的黏度随温度的变化公式,并将得到的经验公式与采用传统的最小二乘法得到的公式比较.发现在处理某些非线性拟合问题时,采用最小二乘法并非最好,遗传算法得到的结论更优,方法也更简单.
The genetic algorithms is used in getting the formula of glycerin viscosity coefficient＇s variation with temperature. And comparing with the original formula given by the method of least squares, the result shows that the formula definited by the genetic algorithms is more accurate. It proves that the genetic algorithms have a very high value in the nonlinear problems.
出处
《大学物理》
北大核心
2007年第6期32-34,共3页
College Physics
关键词
遗传算法
数据拟合
最小二乘法
非线性
genetic algorithms
data fitting
method of least squares
nonlinear
