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huigui
- 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.
ls_AR
- 时间序列分析,采用了最小二乘(LS)与自回归(AR)的组合模型,并用MATLAB将其实现-Time series analysis, using a least-squares (LS) and autoregressive (AR) model combination and its implementation using MATLAB
lssvm_regression
- 最小二乘支持向量回归模型 直接输入训练集和测试样本即可-Least squares support vector regression model direct input training set and test samples
LS
- 最小二乘的直线与曲线的拟合,以及利用matlab编程时多元线性回归-least square
123
- 有关回归分析的所有算法,包括详细的原理介绍及具体的matlab代码,很适合初学者使用,及有关工程人员参考;其中包含了一元线性回归、最小二乘估计方法、显著性检验、多元线性回归、利用回归模型预测、非线性回归、逐步回归等-All algorithms related to regression analysis, including a detailed descr iption and the specific principles matlab code, it is suitable for b
MLS-new
- mls最小二乘用于软测量函数的回归拟合预测-mls measurement for the regression function fitting soft forecast
LS-SVR
- 最小二乘支持向量回归算法: 训练数据用来得到回归模型,测试数据用来判断是否为显著武昌-Least squares support vector regression algorithm: Training data to train the model, the test data for testing, to judge whether the data for gross error data
papers-for-forecasting
- 上传5篇分别采用投影追踪回归、最小二乘支持向量机、卡尔曼滤波做预测的研究论文,希望能对预测思路有所启发。-Five papers using Projection Pursuit Regression,LSSVM, Kalman filter respectively for forecasting
LSSVM
- 最小二乘支持向量机工具箱1.6版。含稳健回归和贝叶斯推理,功能强大。-LS-SVM Toolbox version 1.6. With robust regression and Bayesian inference, and powerful.
Curve-fitting
- 此代码实现采用最小二乘拟合求回归系数的功能-This code uses a least squares fit of the regression coefficients seeking function
LS-SVM1
- 最小二乘支持向量机的工具箱程序,附可运行的SVM回归的例子,还有工具箱使用说明。-Least Squares Support Vector Machine Toolbox program, you can run the example attached SVM regression, as well as kit instructions.
PLS
- 经典的偏线性最小二乘算法,可用于线性回归和故障诊断-Classical linear partial least squares algorithm can be used for linear regression and Troubleshooting
LSSVMlabv1_8_R2009b_R2011a
- lssvm 最小二乘支持向量机,用于多元非线性回归分析,非线性拟合与预测-Least squares support vector machine for multi-linear regression analysis, nonlinear fitting and prediction
linear-regression
- 最小二乘法的实现,线性回归的系统辨识,通过最小二乘的方法辨识系统模型的参数-linear regression
pianzuixiao
- 非常好的偏最小二乘分析的程序,包含了典型相关分析、主成分分析和多元线性回归。可以根据具体的需要更改代码变成非线性回归,建立多个自变量和多个因变量之间的关系应用很广。包含计算程序和画图表示结果的程序两个m文件-Very good partial least squares analysis of programs, including the canonical correlation analysis, principal component analysis and multiple line
Karl
- Karl Sketting RLS-DL回归最小二乘字典学习算法,可用于超分辨率重建,MATLAB版-Karl Sketting RLS-DL dictionaries least squares regression learning algorithms can be used to super-resolution reconstruction, MATLAB version
pls
- 多元统计回归,偏最小二乘,适用于数据挖掘-Multivariate Statistics
alglib-2.6.0.delphi
- ALGLIB是一个跨平台的数值分析和数据处理函数库。它支持多种编程语言,如C++,C#,Pascal,VBA等,可以在多个操作系统平台上运行,如:Windows,Linux和Solaris。ALGLIB有以下特点: (1)线性代数(包括矩阵分析); (2)方程求解(线性和非线性); (3)插值; (4)最优化; (5)快速傅里叶变换; (6)数值积分; (7)线性和非线性最小二乘拟合; (8)常微分方程求解; (9)特殊函数; (10)统计(描
IRWLS-SVR-code
- IRWLS-SVR即基于迭代加权最小二乘的支持向量机回归-IRWLS-SVR,Support vectors based on iteratively reweighted least squares
ccgfaguj
- PLS部分最小二乘工具箱,仿真效果非常好,双向PCS控制仿真,包括回归分析和概率统计,关于神经网络控制,有PMUSIC 校正前和校正后的比较。- PLS PLS toolbox, Simulation of the effect is very good, Two-way PCS control simulation, Including regression analysis and probability and statistics, On neural network control,