摘要
提出了一种初等函数组合拟合数据的方法。首先分析离散数据的整体分布情况,根据经验找出能描述该离散数据整体规律的初等函数组合,并设计若干调整参数进行拟合调整,再根据曲线拟合的残差选择选择最佳模型的参数,最终通过Matlab平台实现了模型的拟合,并给出相应的结果。
A data-fitting method based on function combination is proposed. Firsdy, according to the data distribution and experiment, the function combination is chosen which is fitted to the data distribution and some parameters are designed to adjust the fitting-curve. Then optimized model is calculated by minimum residuals. Finally, the optimized model is fitted through Matlab platform, and the calculated result is given out.
出处
《电脑与信息技术》
2013年第4期22-24,共3页
Computer and Information Technology
关键词
曲线拟合
函数模型
函数组合
参数估计
curve-fitting
functional model
function combination
parameter estimation
