搜索资源列表
minnh
- 最小二乘法多次曲线拟合.exe-Using least squares algorithm on Multi-times curve fitting.exe
hpir10
- 最小二乘曲线拟合算法（用最小二乘法求给定数据点的拟合多项式）-least squares curve fitting algorithm (with the least-squares method for the given data points of polynomial fitting)
20060401
- 二阶曲线拟合，最小二乘法，此程序是在c++ builder6.0环境下开发的-second curve fitting, least squares method, this procedure is in c builder6.0 development of the environment
cal_line
- 可以用来拟合任意阶的曲线，属于非加权最小二乘法-can be used to fit the curve of arbitrary order, belonging to the non-weighted least squares method
curvefit_C_edition
- c语言版的多项式曲线拟合。 用最小二乘法进行曲线拟合. 用p－1 次多项式进行拟合，p<= 10 x,y 的第0个域x[0],y[0],没有用，有效数据从x[1],y[1] 开始 nNodeNum,有效数据节点的个数。 b,为输出的多项式系数，b[i] 为b[i-1]次项。b[0],没有用。 b,有10个元素ok。-c language version of the polynomial curve fitting. Using least-squares met
HPIR1
- 最小二乘法拟合曲线的算法-Algorithm gor least square fit curve.
2x
- 利用最小二乘法进行曲线的拟合,这是用多项式拟合曲线的源码!-using the least-squares method of curve fitting, which is the polynomial curve fitting source!
Correlation1
- //=== === === === === === ===== //函数说明 //函数名称：Correlation //函数功能：计算最小二乘法拟合的多项式的相关系数 //使用方法：int M------ 拟合多项式的阶数（已知条件） // double *b--- 拟合曲线的系数,排列顺序为由高阶到低阶（已知条件） // double *x--- 结点x轴数据（已知条件） // double *y--- 结点y轴数据（已知条件） // double
Correlation2
- //=== === === === === === ===== //函数说明 //函数名称：Correlation //函数功能：计算最小二乘法拟合的多项式的相关系数 //使用方法：int M------拟合多项式的项数（已知条件） // double *b---拟合曲线的系数,按升次排列（已知条件） // double *x---结点x轴数据（已知条件） // double *y---结点y轴数据（已知条件） // double *Yg--结点估计值
最小二乘法拟合曲线
- VB 二次项 代码
Curve--Fitting-methods
- 曲线拟合方法讨论，分别比较了最小二乘法，移动最小二乘法，RBF拟合，NURBS拟合方法。并对这些方法进行原理说明。-Discuss curve fitting method, compared the least squares method, moving least squares method, RBF fitting, NURBS fitting method. These principles and methods described.
data-fitting
- 运用最小二乘法对数据进行拟合，内容包括1. 1.运用matlab自带的程序对最小二乘法数据拟合 2.自己编程对最小二乘法数据拟合3.对非线性曲线拟合4.运用神经网络对实验数据进行拟合 -Using least squares fit of the data, including 1.1. Using matlab own procedures for least squares data fitting 2. Their own programming on the method of le
interpolation
- 从随机的数据中找出其规律性，给出其近似表达式的问题，在生产实践和科学实验中大量存在，通常利用数据的最小二乘法求得拟合曲线。-From random data to find its regularity, give its approximate expression problems in the production practice and scientific experiments abound, often use the data obtained by least squares
NO.2
- 从随机的数据中找出其规律性，给出其近似表达式的问题，在生产实践和科学实验中大量存在，通常利用数据的最小二乘法求得拟合曲线。 在某冶炼过程中，根据统计数据的含碳量与时间关系，求含碳量与时间t的拟合曲线。 -From random data to identify its regularity, given its approximate expression issues abound in the production practice and scientific experiments
zxec
- 利用最小二乘法实现拟合二次曲线，经验证无误-Achieve quadratic curve fitting, proven correct by the least square method
feileng
- 实现了图像的灰度化并进一步用于视频监视控，有井曲线作为输入可计算其地震波的衰减,利用最小二乘法进行拟合多元非线性方程。- Achieve a grayscale image and further control for video surveillance, There is a well attenuation curve as input to calculate its seismic waves, Multivariate least squares fitting method of
jingfan_v86
- 包括轨道机动仿真、初轨计算,利用最小二乘法进行拟合多元非线性方程，有井曲线作为输入可计算其地震波的衰减。- Including orbital maneuvering simulation, initial orbit calculation, Multivariate least squares fitting method of nonlinear equations, There is a well attenuation curve as input to calculate its s
NH
- 用最小二乘法拟合二元多次曲线 已知点的x坐标集合 已知点的y坐标集合 已知点的个数方程的最高次 二元多次线性方程拟合曲线(Fitting two yuan multiple curves with least square method X coordinate set of known points Y coordinate set of known points The highest degree of the equation of the number of known points
PI实现
- 基于改进的PI模型对非线性曲线进行拟合，二次寻优算法进行参数辨识，用逆模型前馈补偿(classical PI modeling)