搜索资源列表
SENT
- this package contain: five matlab function and one scr ipt. XOX_OLS: is Common ols regression function that print out results just like Eviews Program. XOX_PanelFix: is Common fix effect panel data regression function that print out results just
SVM-KM
- K-近邻支持向量机回归，工具箱，全程Matlab-K-Support Vector machine Matlab， This function process the SVM regression model using a linear epsilon insensitive cost
1xy7z.ZIP
- 基于多元线性自回归模型的流量预测Multiple linear regression model based on traffic prediction-Multiple linear regression model based on traffic prediction
GA-elman
- Elman神经网络回归模型，GA优化权值阈值-Established a regression model by Elman, GA was used to optimizied weigth and threshold
ARIMA-model-algorithm
- 。统计预测方法建立在严密 的数学理论基础之上，具有结构简单、预测速度快、方便操作等特点，相对于其 他时序分析预测方法(如:回归分析、神经网络等)更适合实际应用 -. Statistical prediction method is based on a rigorous mathematical basis of the theory with a simple structure, the forecast fast, convenient operation, relative
gmregress
- 几何平均回归模型程序，是线性回归方式的主要方式之一。-The geometric mean regression model
glmfit_fda
- 拟合正则广义线性模型，编制glmfit函数，解决logistic回归模型-Fitting regular generalized linear models, the preparation glmfit function to solve the logistic regression model
Linear-Least-Squares--and-model-test
- 最小二乘回归算法以及其模型检验和参数检验并自动逐步检验。-linear least squares regression，model and parameters testing
vol
- matlab金融时间序列ARMA建模 结果分析： 1.预测结果从第四步开始，预测值不再改变，因为ARMA是收敛的回归模型，而我们做的工作并不是模拟，所以，当预测步长足够长时，它最终将收敛于一个不变得预测值 2.既然预测值一样，为什么还原为成交量后，在置信区间下预测的最大值与预测均值的差比预测均值与最小值的差要大？因为将对数差分值还原时，需用到的指数函数为凹函数-matlab Financial Time Series the the ARMA modeling results Ana
m-break
- This paper considers issues related to multiple structural changes, occurring at unknown dates, in the linear regression model estimated by least squares.
Image-reconstruction_CS
- 合稀疏贝叶斯学习(SBL)和可压缩传感理论(CS)，给出一种在噪声测量条件下重建可压缩图像的方法。该方法将cS理论中图像重建过程看作一个线性回归问题，而待重建的图像是该回归模型巾的未知权值参数；利用sBL方法对权值赋予确定的先验条件概率分布用以限制模型的复杂度，并引入超参数- Hop sparse Bayesian learning ( SBL ) and compressible sensing theory ( CS ) , give a compressible image recon
yiyuanhuiguifexi
- 进行一元线性回归分析，分析的模型y=a+bx+e,e服从N(0,sigma平方),以及根据所建的一元线性回归模型进行预测实例-A linear regression analysis, the analysis of the model y = a+bx+e, e obey N (0, sigma squared), and built a linear regression model to predict instance
untitled
- 利用支持向量机技术建立传感器的回归模型。利用粒子群算法优化回归模型参数，以达到提高建模效率及精度的目的。-The support vector machine technology to build the regression model of the sensor. Utilizing particle swarm optimization of the parameters of the regression model, in order to achieve the purpose t
chj
- 应用c开发实现多元线性回归的模型建立，矩阵多元线性方程的模型-The application c development of multiple linear regression model, the matrix multivariate linear equation model
SVM
- 支持向量机回归拟合模型，通过仿真训练得出最好的拟合效果-Support vector machine regression model obtained through simulation and training the best fitting results
sas
- 做logistic模型的sas程序，包括模型中参数估计的一元线性回归模型。-Do logistic model sas procedures, including the model parameter estimates a linear regression model.
Semiparametric
- 半参数回归模型在测绘领域中的应用，先利用多期数据构建半参数回归模型，然后再预报未来多期数据-Semiparametric regression model applied in the field of surveying and mapping, the first use of multi-phase data to construct semi-parametric regression model, and then predict the future multi-phase data
The-discriminant-of-heart-disease
- 数学建模 训练题目 心脏病的判别 主要采用多元线性回归模型 采用matlab编程 ，附有题目，论文，完整代码，以及程序运行的完整说明，希望对大家有用-Mathematical modeling training subject criterion of heart disease mainly using multiple linear regression model using matlab programming, with the title, thesis, complete code
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
lec5
- Li near r egr essi on, acti ve learning We arriv ed at the lo gistic regression model when trying to explicitly model the uncertainty about the lab els in a linear c la ss ifier. The same genera l modeling approach p e rmits us to use line a