Description: 最小二乘法和主成分回归法对同一数据进行分析，比较其优缺点-Least square method and principal component regression analysis of the data on the same, compare their advantages and disadvantages Platform: |
Size: 1024 |
Author:淡茶 |
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Description: 强局部加权回归算法由Cleveland[7]提出,主要利用局部观测数据对欲拟合点进行多项式加权拟合,并用最小二乘法进行估计.它综合了传统的局部多项式拟合,局部加权回归以及具有强鲁棒性的拟合过程
-Strong locally weighted regression algorithm by Cleveland [7] proposed, mainly using local observational data points on the polynomial fitting For weighted fitting, and estimated by least square method. It combines the traditional local polynomial fitting, locally weighted regression as well as strong robustness of the fitting process Platform: |
Size: 3072 |
Author:wanghuaqiu |
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Description: 最小二乘法是修正误差曲线的算法，本例程实现算法并显示k线修正值只用于后来来者学习使用-Least square method is to amend the error curve algorithm, the routine algorithm and display the correct value of k line only to learn for later use Platform: |
Size: 271360 |
Author:shijinchao |
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Description: 所谓偏最小二乘法，就是指在做基于最小二乘法的线性回归分析之前，对数据集进行主成分分析降维，下面的源码是没有删减的，GreenSim团队免费提供您使用，转载请注明GreenSim团队（http://blog.sina.com.cn/greensim）。 -The so-called partial least squares method, this means doing the least square method based on linear regression analysis prior to the data sets of principal components analysis dimensionality reduction, the following source code is not deleted, GreenSim team, you are free to use, reproduced please note Ming GreenSim Team (http://blog.sina.com.cn/greensim). Platform: |
Size: 2048 |
Author:biebietuo |
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Description: ：为了提高最小二乘支持向量回归机的性能，将Morlet小波核函数引入其中，形成了最小二乘小波支
持向量回归机模型。利用待优化的参数重构模型的目标函数和约束条件，并在此基础上通过遗传算法进行参数
选择，从而提高了该模型的泛化能力。将最小二乘小波支持向量回归机应用于导弹陀螺仪的漂移趋势预测，仿真
实验结果表明了该方法的有效性和可行性，因此可以为陀螺仪的故障预报、可靠性辅助决策提供依据。-To improve the ability of least square support vector regression algorithm，a least square wavelet
support vector regression model by introducing the Morlet wavelet kernel is presented．The object function and
constraint condition are reconstructed by the parameters to be optimized．On the base of it，the model parame—
ters are optimized through genetic algorithm．As a result，the model attains the better generalization ability．
The least square wavelet support vector regression model is used tO forecast the missile gyroscope’S drift tend—
ency．The simulation experiment results indicate the feasibility and validation of the algorithm．So it can provide
basis for the gyroscope’S fault prediction and reliability aid decision． Platform: |
Size: 285696 |
Author:11 |
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Description: Least-square curve fitting using polynomials is probably the most basic way to perform some parametric regression analysis. Foor basic tools for polynomial curve fitting are provided here. I also strongly recommend the exhaustive function POLYFITN Platform: |
Size: 8192 |
Author:Karthikeyan |
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Description: 对两组数据进行最小二乘法拟合并得出拟合直线的斜率-using the least square algorithm to make the regression and get the slope of the line Platform: |
Size: 2048 |
Author:毕丽思 |
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Description: SER（序贯回归算法）和LMS（最小均方算法）的matlab仿真及对比-SER (Sequential regression algorithm) and the LMS (least mean square) of matlab simulation and comparison Platform: |
Size: 1024 |
Author:小红 |
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Description: 用C#编写的多元线性回归的最小二乘法，实现曲线的拟合~~
-Written in C# using multiple linear regression least square method, fitting a curve ~ ~ Platform: |
Size: 40960 |
Author:xiaopang |
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Description: 最小二乘拟合，最小二乘拟合直线算法，使用matlab实现最小二乘拟合直线。-Least square fitting, least squares fitting straight line method, using the least squares fitting straight line matlab implementation. Platform: |
Size: 1024 |
Author:滕宇 |
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Description: 线性回归算法 用matlab实现多元线性回归，用最小二次方法来求回归模型的系数及标准差-computes estimates of a multivariate least square regression, the standard errors of the coecients. Platform: |
Size: 1024 |
Author:hchen |
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Description: 具有NA误差项的多元回归模型中最小二乘估计的强相合性With NA errors in the multiple regression model of strong consistency of least square estimate-With NA errors in the multiple regression model of strong consistency of least square estimate Platform: |
Size: 1248256 |
Author:china678 |
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Description: 利用最小二乘发进行回归分析 ，并根据实验数据对 发动机的万有特性进行计算 ，并绘制相关图形 。-Made using least square regression analysis of the experimental data, the universal characteristics of the engine to calculate and draw the relevant graphics. Platform: |
Size: 1024 |
Author:john |
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Description: 基于l1,l2 NORM 的最小二乘法，岭回归等算法，懂的人一看就知道好用，利用SVD进行计算的-Based on L2, NORM L1 least square method, ridge regression and other algorithms, the people who understand the good use, the use of SVD for calculation Platform: |
Size: 7168 |
Author:wyl |
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Description: 影子定位很厉害的算法，用了都说好，不信你可以试试，就这样了。(Shadow location. Then through the least square regression of the theoretical
value of the shadow length and the measured value, the positioning results are gained.) Platform: |
Size: 48128 |
Author:战狼5
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Description: 对于单输入单输出的系统（Single input single output，SISO）常采用最小二乘方法辨识系统的参数。最小二乘参数估计是一个经典的方法，概念简明，适应范围广，来源于数理统计的回归分析，它能提供一个在最小方差意义上与实验数据最好拟合的模型，在一些情况下，可得到与极大似然法一样好的统计效果，并能很方便地与其它辨识算法建立关系。在一定条件下，最小二乘法参数估计法有最佳的统计特性，即一致的、无偏的和有效的结果。本代码主要关于使用递推最小二乘辨识方法与增广最小二乘辨识方法辨识模型参数，采用高斯噪声作为系统的噪声。(For Single input Single output (SISO), the least squares method is used to identify the parameters of the system.
Least squares parameter estimation is a classic method, concept is concise, wide adaptation, derived from the regression analysis of mathematical statistics, it can provide a minimum variance sense the best fitting model with the experimental data, in some cases, the statistics can be obtained with the maximum likelihood method is as good effect, and can easily establish relations with other identification algorithm.
Under certain conditions, the least square parameter estimation method has the best statistical properties, namely consistent, unbiased and effective results.
This code mainly USES the method of recursive least squares identification method and the augmented least squares identification method to identify the model parameters, using gaussian noise as the noise of the system.) Platform: |
Size: 1024 |
Author:M.R.J.
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Search - least square regression