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多项式拟合曲线
- 应用一般多项式拟合曲线
thin_plate.rar
- 薄板样条，一种很好的拟合曲线的方法。是最近比较常用的拟合方法。,thin plate spline is so nice fitting method. Features: (1) support arbitrary control points (2) allow regularization (3) estimate the warp parameters from corresponding pairs
spline.zip
- 样条曲线的绘制，spline曲线是很好的拟合曲线，给出控制点，就可以得到很平滑的spline样条曲线,Drawing spline curves, spline curve fitting is a very good curve, control points are given, it can be very smooth spline-spline curve
4
- 最小二乘法拟合曲线（用到矩阵求逆、矩阵乘法、矩阵转置）-Least square fitting curve (use matrix inversion, matrix multiplication, matrix transpose)
ShowDlg
- 一个VC++编写的动态数据曲线拟合的例子。通过采用定时器的方式，定时去采集拟合曲线的样本，并绘出曲线图。对VC++初学者和用与数据采集数据处理的朋友有重要帮助！-VC++ to prepare a dynamic data curve fitting example. Manner through the use of timers, from time to time to collect samples of curve fitting and curve drawing. VC++ for
nihe
- 最小二乘平面曲线拟合算法，计算最佳拟合曲线-Least squares plane curve fitting algorithm to calculate the best fitting curve
Besizer
- Besizer拟合曲线的实现源码，同时有对话框提示等功能-Fitting curve Besizer realization of source, while features such as dialog prompt
srir
- 最小二乘法——一般多项式拟合曲线，并以x-eexp(-x) 0<=x<=2 ,为例进行拟合-Least square method- general polynomial fitting curve, and x-eexp (-x) 0 < = x < = 2, as an example, fitting
chazhi
- 二次拟合曲线插值计算 三 次样条曲线插值计算-Quadratic curve fitting curve interpolation calculation of the three interpolation calculation of cubic spline curve interpolation calculation
曲线拟合
- 本程序是基于LABWINDOWS开发的，主要是实现数据拟合这一功能。-This procedure is based on the development of LABWINDOWS is mainly the function of data fitting.
p
- 拟合曲线，最小二乘法和牛顿法等，有助大家基础学习。-Curve fitting, least squares method and Newton s law, the foundation will help you learn.
CurveFittingguide
- matlab曲线拟合工具箱使用说明，可以直接得到拟合曲线的表达式。-matlab_curve
不同阶次多项式模型拟合曲线
- 该代码可以画出不同阶次多项式模型的拟合曲线(Model fitting of different order polynomial)
3次B样条曲线拟合
- 离散点曲线 进行3次B样条曲线拟合 包括节点参数化过程 基函数计算过程 控制点反求过程 到最后拟合曲线的显示(The discrete point curve is fitted with 3 B spline curves, including the node parameterization process, the basis function calculation process, the control point inversion process, and the final
最小二乘法拟合曲线C语言代码
- 用最下二乘法多项式进行曲线拟合进而插值。(With the least two multiplicative polynomial for curve fitting, and then interpolation.)
最小二乘法曲线拟合
- 最小二乘拟合曲线,知道离散点后可以更好的获得其对于曲线的拟合(Least square fitting curve)
拟合曲线
- 鼠标点击任意两点，两点之间进行直线拟合，继续点击，增加点的数目，多点之间进行多次插值拟合(Mouse click any two points, between two points to a straight line fitting, continue to click, increase the number of points, multiple points between multiple interpolation fitting)
最小二乘拟合的两种求参方法
- 最小二乘拟合曲线；系统建模与辨识课程中所用到的两个最基础的程序(Least squares fitting curve,The two most basic programs used in the system modeling and identification course)
最小二乘法分段直线拟合
- 曲线拟合是图像分析中非常重要的描述符号。最常用的曲线拟合方法是最小二乘法,然而一般的最小二乘法有一定的局限性,已经有不少学者对其进行了一些改进。进一步对最小二乘法进行改进,提出一种新的分段直线拟合算法来代替多项式曲线拟合,以达到简化数学模型的建立和减少计算的目的,使其能够更好地对点序列进行拟合。(Curve fitting is a very important descr iptor in image analysis,the most commonly used curve fitting
BP神经网络与多项式拟合曲线
- BP神经网络与多项式拟合曲线，数据统计描述，神经网络模型，概率统计建模的理论和方法。(BP neural network and polynomial fitting curve, data statistical descr iption, neural network model, probability and statistics modeling theory and method.)