摘要
在对实验数据进行处理的过程中,最小二乘法是应用范围最广泛的数据分析方法之一.作者在最小二乘法的基础上,提出分段直线拟合算法来代替多项式曲线拟合,从而达到简化数学模型的建立和减少计算量的目的.
In the process of dealing with the experimental data,the least square method is one of the most popular data analysis methods.The author proposes a sectional line fitting to replace the polynomial curve fitting,which results in simplifying establishment of mathematical model and reducing the amount of calculation work.
出处
《南昌航空工业学院学报》
CAS
1992年第1期19-25,共7页
Journal of Nanchang Institute of Aeronautical Technology（Natural Science Edition）
关键词
最小二乘法
曲线拟合
数据处理
least square method
curve fitting
data processing
mathematical model
