搜索资源列表
最小二乘法直线拟核源代码
- 图像处理源代码，介绍了利用最小二乘法对BMP图像进行直线拟合的方法-image processing source code, introduced to the use of least squares to BMP images linear fitting method
使C#语言实现最小二乘法
- 使C#语言实现最小二乘法的一元线性回归.
最小二乘法多次曲线拟合算法
- 最小二乘法多次曲线拟合算法-Multi-times Least squares algorithm curve fitting
非线性最小二乘法--数据拟合
- 最小二乘法的拟合,能对任意个参数进行拟合,效果非常好-least squares fitting, can be arbitrary parameters to fit very good results
最小二乘法拟合
- 输入几个点的横坐标和纵坐标，用最小二乘法拟合出直线（类似y=ax+b）.并把这个方程计算并显示出来。
xitongbianshi.rar
- 系统辨识的最小二乘递推算法、辅助变量法、增广最小二乘法及偏差补偿法的matlab程序设计实例。,Recursive least squares system identification algorithm, auxiliary variables, the least square method and the augmented error compensation law matlab programming examples.
erchengfa
- 最小二乘法曲线拟合程序代码,可以直接从点生成曲线，windows界面-giygikgiufiuihkfiugfvyjfgkugj
xitongbianshi
- 应用一般最小二乘法与递推式最小二乘法对二阶系统进行参数辨识-RLS
最小二乘法和牛顿迭代
- 最小二乘法和牛顿方法的一些简单资料，对于理解算法有点帮助(i have limit capicaticy for using machine learning,i hope i will impove a lot in the future)
C#写的最小二乘法程序
- 实现了最小二乘算法的编写，初始解解算和迭代解算都能正常运行。(The preparation of least squares algorithm, the initial solution calculation and iterative solution can normal operation.)
最小二乘法
- 通过c语言编程，实习最小二乘法的功能，求解运算(Through the C language programming, practice the least square method function)
04带有约束条件的最小二乘法
- 高斯核模型约束 最小二乘法，亲手注释，效果不错，带拟合效果图(Gauss kernel model constrained least squares method, personally annotated, the effect is good, with the fitting effect diagram)
多项式最小二乘法拟合
- 最小二乘法拟合多项式，效果非常好，与MATLAB的多项式拟合基本一样。亲自在STM32板子上跑过，几乎直接出来答案。用法简单，包含头文件然后直接调用即可，电脑或者开发板都可以直接跑。 注意！注意！注意！说三遍...拟合之后多项式的变量x其实是（X-a），a是输入数据点的均值。(The least square method fits the polynomial, and the effect is very good. .)
最小二乘
- matlab实现数据补缺，采用的是最小二乘法和平均值填补，补缺的数据用特殊颜色标记。(Matlab realization of data deficiency, least square method)
python 偏最小二乘法
- 包含python实现偏最小二乘回归的源代码，同时文件中还有所需数据格式(Contains python partial least-squares regression source code, at the same time the file also has the required data format.)
MATLAB 求最小二乘法系数
- 用MATLAB进行三次曲线的拟合，并运用最小二乘法求各个系数，得出曲线方程(The three curves are fitted with MATLAB, and the coefficients are obtained by using the least square method, and the curve equation is obtained.)
最小二乘法-梯度下降法-牛顿法
- 用Python3在jupyter notebook实现最小二乘法，梯度下降法和牛顿法(Using Python3 to realize least square method, gradient descent method and Newton method in jupyter notebook)
最小二乘解包裹算法
- 最小二乘法解包裹算法可以在光栅法三维重建时由相对相位求取绝对相位。(The least square unwrapping algorithm can obtain the absolute phase from the relative phase in the three-dimensional reconstruction of raster method.)
股票预测-最小二乘
- 采用最小二乘法进行MATLAB编写，开盘为输入，收盘为输出。1-600个数据为训练样本集，601-700为预测样本。先对数据进行标准化处理，再利用最小二乘法对模型进行预测，最后进行反标准化处理后输出。(The least square method is used to compile MATLAB. The opening is input and the closing is output. 1-600 data are training samples and 601-700 predic
最小二乘法拟合程序
- 利用Matlab平台，开发最小二乘法，实现对输入数据的准确拟合(Use the Matlab platform to develop the least square method to achieve accurate fitting of the input data)