搜索资源列表
PLSmodel
- 偏最小二乘回归建模分析程序，在matlab里面运行，是较新的一种统计分析方法，较以往的分析方法相比有很多优点-partial least squares regression modeling analysis procedures, the operating inside Matlab, it is a relatively new statistical analysis method, compared to the previous method has a lot of advant
pls_EVA01
- 最小二乘回归程序 并且举例测试 希望对大家有帮助-least squares regression procedures for testing and we hope to help
Spider4dataanlysis
- ?Spider-matlab工具箱，为一良好的数据分析工具箱，内建核偏最小二乘回归(KPLS),径向基网络回归(RBFnet)等；支持向量机(SVC)分类；聚类分析等．-Spider-Matlab Toolbox for a good data analysis toolbox. Built-nuclear partial least squares (PLS) regression neural network (RBFnet); Support Vector Machine (SVC) c
pls_2.1-0.tar
- 做主成分回归和偏最小二乘回归，效果比较好，别人做的，我参与考了一下。
PLS-GA.rar
- 这是遗传算法和偏最小二乘法的共同使用做回归,非常好的程序,This is a genetic algorithm and partial least squares regression to do the common use, very good procedures
LineRegSource
- 二元线性回归算法 使用最小二乘法 C#语言编写-Linear Regression
nihecaishangxian
- 用于直线拟合，加之最小二乘回归拟合直线，是本人原创！-For fitting a straight line, in addition to least-squares regression fitting a straight line, is my original!
LS_SVM
- 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
RegrToolbox
- 基于多元线性回归、偏最小二乘、神经网络、卡尔漫滤波、径向基网络、主成分分析等等的程序。可用于建模和预测。-Based on multiple linear regression, partial least squares, neural networks, Carl diffuse filtering, radial basis networks, and so on principal component analysis procedure. Can be used for modelin
work
- 最小二乘支持向量机工具箱可用来分类 回归和预测很方便-this is a tool for the least vector machine,it can classier and regession.easy
PLScross-validation
- 偏最小二乘算法 利用交叉验证算法计算应提取成分的个数，本程序给出了交叉验证的发放以及回归系数的算法-Partial Least Squares algorithm using cross-validation the number of components to be extracted, this procedure gives the distribution as well as cross-validation regression coefficient of the algorit
SVM_Short-term-Load-Forecasting
- 优秀论文及配套源码。首先阐述了负荷预测的应用研究现状，概括了负荷预测的特点及其影响因素，归纳了短期负荷预测的常用方法，并分析了各种方法的优劣；接着介绍了作为支持向量机（SVM）理论基础的统计学习理论和SVM的原理，推导了SVM回归模型；本文采用最小二乘支持向量机（LSSVM）模型，根据浙江台州某地区的历史负荷数据和气象数据，分析影响预测的各种因素，总结了负荷变化的规律性，对历史负荷数据中的“异常数据”进行修正，对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响，
stepwise
- 最小二乘法多元线性回归的matlab实现-Least squares linear regression of the matlab implementation
LSSVM
- 用最小二乘支持向量机实现负荷预测功能，计算各个误差指标的值，并输出负荷预测对比曲线，误差曲线等(The load forecasting function is realized by least square support vector machines (LSSVM). The values of each error index are calculated, and the load forecast contrast curve and error curve are also ob
pls
- 偏最小二乘回归，里边有若干相关因素，分别输入历史数据，并与待预测量进行偏最小二乘回归，拟合出方程，从而进行预测(Partial least squares regression)
偏最小二乘回归分析（刀具磨损案例）
- PLS回归，以刀具磨损为例，包括程序和数据文件，打包，需要者可以下载看看，用来参考。(PLSregress to tool wear, for example, including procedures and data files, packaging, who can download to see, for reference.)
PLS
- 使用matlab进行偏最小二乘分析，求取回归方程(Use matlab progressive PLS)
算法大全
- 回归分析，神经网络讲解及代码，时间序列模型分析及代码，多元分析代码及讲解、偏最小二乘代码及讲解、(Regression analysis, neural network explanation and code, time series model analysis and code, multiple analysis code and explanation, partial least square code and explanation,)
算法大全
- 回归分析，神经网络讲解及代码，时间序列模型分析及代码，多元分析代码及讲解、偏最小二乘代码及讲解、(Regression analysis, neural network explanation and code, time series model analysis and code, multiple analysis code and explanation, partial least square code and explanation,)
predict
- 基于高斯核函数对数据进行偏最小二乘估计，并进行回归分析(Partial Least Squares Estimation of Data Based on Gauss Kernel Function)