搜索资源列表
smlr.m
- 编写的多元回归的交叉验证程序 可供做预测模型的同仁参考-Prepared by the multiple regression of cross-validation procedure
LinearRegression
- 用C#编写的线性回归预测算法，一个类，可以封装-Written in C# using the linear regression algorithm, a class, you can package! !
Model_ARIMA1
- 季节性移动自回归模型 可以进行时间序列的预测 尤其是季节性数据-S-Arima seaonal Arima model in matlab
linear
- 可以实现数据的线性回归，其中Source.txt是待预测的数据. 此文本中的数据格式要求为一个矩阵，此矩阵的第一列为待预测列-Can achieve linear regression data, which is to be forecast Source.txt data. Text data format requirements for a matrix, this matrix as the first forecast to be out
LinearReg
- 一元线性回归预测电力负荷的模块（带实例应用）-Linear regression to forecast the electricity load modules (with examples of applications)
NoneLinear
- 非线性回归预测电力负荷VB模块（带实例）-Non-linear regression to forecast the electricity load VB modules (with examples)
LogOn
- c#实现线性回归预测,线性回归时一个有用的技术，本文展示了一种带权重的自回归模型-Linear regression is a useful technique for representing observed data by a mathematical equation This article presents a C# implementation of a weighted linear regression c sharp AR auto regression predictio
CSharpRegression
- 回归预测 ,C#编写，包括线性、幂、灰色模型、移动平均
chapter14
- SVM神经网络的回归预测分析---上证指数开盘指数预测 ，利用回归预测分析最佳的参数进行SVM网络训练-SVM Neural Network Regression analysis--- The Shanghai Composite Index opened index forecast, Regression analysis of the best parameters for SVM network training
SVM_regression-
- SVM 回归，给出一个简单的函数，利用svm对其进行拟合及回归预测。-The SVM regression gives a simple function using svm, it is fitting and regression forecast.
Form1
- Excel预测算法；线性回归预测算法-最小二乘法 -Linear regression prediction algorithm
PS0-SVR
- 支持向量机是建立在统计学习理论基础上的通用学习方法,它可较好地解决以往 很多学习方法的小样本、非线性、过学习、高维数、局部极小点等实际问题。笔者利用支持向量回归理论 和方法,建立支持向量机的预测模型,并利用winSVM 和MATLAB 软件进行了实例预测,与二次回归 预测值相比较,支持向量机预测模型具有更好的预测精度,且有很强的推广能力。-Support vector regression data
heigu
- 多元线性回归预测。分析各个影响因素的影响力大小，有源程序及案例。-Multiple linear regression forecasts. Analysis of various factors influence the size of the source code and cases.
SVM
- MATLAB中的SVM源码，用于回归预测，需要的可以下载下-The SVM MATLAB source code for regression forecasting, need can be downloaded below to see the exhibitions
1428369chapter14
- 数据预处理,将原始数据进行归一化,SVM神经网络的回归预测分析上证指数开盘指数预测 -Data preprocessing, the raw data is normalized, the SVM regression analysis to predict the Shanghai Composite Index opened Neural Network Index Forecast
149373c
- pso-svm利用回归预测分析最佳的参数进行SVM网络训练 分析结果- pso-svm Analysis of the best use of parametric regression prediction network training SVM analysis results
线性回归
- 通过已知数据建立对应模型，找出数据集的最优线性关系来预测或估计需要的因变量。(The corresponding model is established by the known data, and the optimal linear relation of the data set is found to predict or estimate the dependent variable.)
一元线性回归
- 包括基于矩阵运算计算回归系数并添加趋势线，基于多项式拟合计算回归系数并添加趋势线，借助回归分析程序包计算回归系数并估计检验统计量，及预测和各统计量。(Including the regression coefficient and add the trend line calculation based on matrix computation, polynomial fitting to calculate the regression coefficient and add the tre
小波神经网络
- 神经网络做回归预测,3层小波包结合在一起做预测(network regress prediction)
svmcx调试成功
- SVM安装包 安装之后可以进行 分类或者回归预测(SVM installation package can be classified or regression prediction after installation)