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Fabonacci法应用于曲线拟合优化新算法
引用本文:汪岚,金福江.Fabonacci法应用于曲线拟合优化新算法[J].华侨大学学报(自然科学版),2006,27(3):313-316.
作者姓名:汪岚  金福江
作者单位:华侨大学信息科学与工程学院,福建,泉州,362021
摘    要:由最小二乘法得到的曲线拟合的效果是较好的,但却不一定是最优的.文中提出将最小二乘法与Fa-bonacci法结合,得到一种曲线拟合的新优化算法.该算法的思路是在最小二乘法的基础之上,结合Fabonacci法优化已得到的拟合曲线的方程系数,使其更加合理化,从而获得最佳拟合曲线.该方法适用优化区间为单峰函数的任何数据,实例表明方法是切实可行的.

关 键 词:曲线拟合  最小二乘法  Fabonacci优化法  Matlab
文章编号:1000-5013(2006)03-0313-04
收稿时间:2005-12-03
修稿时间:2005-12-03

Research and Application of Optimum Curve-Fitting Method Based on Fabonacci Algorithm
Wang Lan,Jin Fujiang.Research and Application of Optimum Curve-Fitting Method Based on Fabonacci Algorithm[J].Journal of Huaqiao University(Natural Science),2006,27(3):313-316.
Authors:Wang Lan  Jin Fujiang
Institution:College of Information Science and Engineering, Huaqiao University, 362021, Quanzhou, China
Abstract:According to classic experiment,using the least-square,law,better fitting-curve can be obtained,but it isn't optimum.A new algorithm based on least-square law combined with Fabonacci optimum was proposed.To optimize the constant of imitative equation,it shows that this algorithm becomes more reasonable.Using this new algorithm,optimum fitting-curve can be obtained.This algorithm can be applied to all data of single-peak function and its applications are introduced.The feasibility and validity of this new algorithm have been verified by real examples.
Keywords:curve-fitting  least-square law  Fabonacci algorithm  matlab
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