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R语言直径分布拟合代码
- 用于Weibull分布概率密度函数拟合林分直径分布的代码,对其进一步的分析有一定的帮助!(The code of Weibull distribution probability density function fitting forest stand diameter distribution has certain help to its further analysis!)
插值拟合
- 用于函数的插值与拟合(Matlab实现)(For the interpolation and fitting function)
正交多项式最小二乘拟合
- 计算给定点列的曲线拟合最小二乘法得到的函数(The function of least square method for curve fitting of fixed point column)
matlab代码
- matlab自编代码实现多项式拟合与积分,以及多项式的龙格现象(Matlab self compiled code to achieve polynomial fitting and integration, as well as polynomial Runge phenomenon)
插值与拟合
- 运用插值与拟合的手段解决问题。例程涵盖多种插值拟合matlab算法(Solving problems by means of interpolation and fitting. Routines cover a variety of interpolation fitting matlab algorithm)
Polynomial_Fitting
- 利用matlab用最基础的语法编写曲线拟合的程序(Using MATLAB to write curve fitting program with the most basic grammar)
FuncLrzFit
- 采用matlab进行洛伦兹拟合的函数,具体拟合采用了最小二乘法。(This matlab function fits lrz, and it is very useful.)
基于BP神经网络的函数拟合与模式识别的Matlab程序
- 基于BP神经网络的函数拟合与模式识别的matlai代码(Function Fitting and Pattern Recognition Based on BP Neural Network)
sptest
- 样条函数拟合与遗传算法(spline fit)
多项式最小二乘拟合与龙贝格积分法
- 通过最小二乘法拟合曲线,并使用龙贝格公式计算积分(By the method of least squares fitting curve, and use the formula to calculate the Romberg integral)
fitting
- 点拟合平面,能够根据输入的点拟合平面,进而求出平面方程、法向量。(plane fitting for Matlab)
RANSAC_plane_single
- 基于matlab的RANSAC算法,主要用来拟合二维直线,同时选出非直线的点用于后续曲线拟合。(The RANSAC algorithm based on MATLAB is used to fit two dimensional lines, and the point of non straight line is selected for the subsequent curve fitting.)
wfmpsf
- 使用zernike多项式进行光学像差的拟合,从而进行光学镜面像差的分析,有助于提高光学系统的加工精度。(The Zernike polynomial is used to fit the optical aberration, and the analysis of optical mirror aberration is helpful to improve the machining precision of the optical system.)
Zernike_code
- 使用zernike多项式进行光学镜面的像差拟合,方便对光学镜面或者眼睛诊治过程中的监控和光学像差信息的控制。(The Zernike polynomial is used to fit the aberration of the optical mirror. It is convenient to control the monitoring and optical aberration information during the diagnosis and treatment of the
Class1
- 最小二乘法(又称最小平方法)是一种数学优化技术。它通过最小化误差的平方和寻找数据的最佳函数匹配。利用最小二乘法可以简便地求得未知的数据,并使得这些求得的数据与实际数据之间误差的平方和为最小。最小二乘法还可用于曲线拟合。其他一些优化问题也可通过最小化能量或最大化熵用最小二乘法来表达。(The least square method (also called the least square method) is a mathematical optimization technique. It m
shujunihe
- 读取数据,根据需要写出相应的函数关系式进行拟合(Read the data and write the corresponding function formula to fit in according to the need)
mrUV
- 文件的读取、拼接,最小二乘拟合,曲线拟合,并做散点图(Reading and splicing of files, fitting of least squares, fitting of curves, and making scatter plot)
sintest
- 实现对正弦波形进行AD采样,并做幅值和频率的拟合。(The sine wave is sampled by AD, and the amplitude and frequency are fitted.)
gussian
- TXT文件,对列积分,画直方图,实现高斯拟合(The TXT file, the column integral, the histogram, and the Gauss fitting)
BPimage
- 本程序是自己初步设计的BP拟合图像曲面的训练程序,还有诸多不完善之处,请批评指正(This procedure is their own preliminary design of the BP fitting image surface training procedures, there are many imperfections, please criticism correct)