搜索资源列表
hgfx1
- 一元线性回归和二元线性回归的matlab实例编程 包括有多元线性回归模型-Linear regression and binary linear regression matlab programming examples include multiple linear regression model
zihuigui
- 自回归模型是数学预测计算中很常用的模型，用途广泛，在工程实际背景或者数学建模竞赛中都会经常用到-Since the regression model is very commonly used mathematical calculations to predict the model, widely used in engineering or mathematical modeling contest in the background are often used
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
SVM-regression-theory-and-control-
- 支持向量机回归理论与神经网络等非线性回归理论相比具有许多独特的优点有线性回归和非线性回归,其模型的选 择包括核的选择、容量控制以及损失函数的选择.在控制方面的研究包括非线性 时间序列 的预测及应用、系统辨识以及优化控制和学习控制等方面的研究-Support vector machine (SVM) regression theory and neural network has many unique advantages such as nonlinear regression theory
cai
- 计算回归模型中的 mle以及ols估计 并且对这些估计的有效性进行评价-Calculate the regression model estimates mle and ols and for evaluation of the effectiveness of these estimates
plsr1
- 偏最小二乘回归模型，处理光谱数据的有效模型-Effective partial least squares regression model, processing spectral data
gao-si-die-dai
- 数学算法中的一种迭代方法，高斯迭代法，是使用泰勒级数展开式去近似地代替非线性回归模型，然后通过多次迭代，多次修正回归系数，使回归系数不断逼近非线性回归模型的最佳回归系数，最后使原模型的残差平方和达到最小。-Mathematical algorithms in an iterative method, Gauss iterative method, using the Taylor series expansion to approximate instead of nonlinear regre
Population
- matlab非线性回归模型的拟合曲线（Logisic曲线人口预测-matlab curve fitting nonlinear regression model (Logisic curve population projections
zuixin
- PLS回归模型建立的程序，针对多输入和多输出的。希望此方法能对大家有帮助-PLS regression model program, multiple-input and multiple-output targeted. I hope this method can help everyone
The-code-for-SVM-model
- 采用支持向量机算法进行股市回归预测分析的程序，本人亲自尝试，可以正常使用。对于使用SVM算法的同学很有帮助！-Using support vector machine algorithm to predict the stock market regression analysis procedures, I personally try to be normal. For SVM algorithm helps the students!
matlab_baoxian
- 完成一个多元线性回归模型，并给出回归结果，给出q值检验，拟合优度。画出残差图，对结果进行分析。-To complete a multiple linear regression model, and gives regression results, given the q value, goodness of fit. Residual plotted on a graph to analyze the results.
PLSR-in-Matlab
- 本文章详细介绍了PLSR片最小二乘回归的原理，以及如何用matlab源代码实现PLSR建立回归模型，以及交叉检验，得到最优模型。-This article describes in detail the principle of least squares regression PLSR piece, and how to use matlab source code PLSR regression model, and cross-examination, the optimal model.
AR_with_remove
- 时间序列分析，AR模型，用于流数据预测与滤波 输入参数：y为原始数据矩阵，p为AR模型的阶数，la为自回归模型的遗忘系数 输出参数：预测值，置信区间，离群点等-Time series analysis, AR model for prediction and filtering data stream input parameters: y original data matrix, p is the order of the AR model, la self-forgetting c
arModel_shm
- 自回归模型的阶数确定：包括基于残差、基于AIC和基于BIC这三种确定方法；以及自回归模型参数估计算法。-Since the order of the regression model to determine: including those based on residuals, AIC and BIC determine which method is based on three and self-regression model parameter estimation algorit
Logistic_Regression
- 逻辑回归是当前业界比较常用的机器学习方法,这个是PY实现的。-logistic regression model implemented in Python. Hope this helps.
SingleTank_LinearRegressionModel_2
- identification linear regression model single tank
crclib
- It is one of the files which will help in designing the biped simulation model by controlling it through regression model.
mems_controller_final
- It is one of the files which will help in designing the biped simulation model by controlling it through regression model.
Classification-and-regression
- 分类与回归。Matlab的工具箱是围绕一个快速LS-SVM训练和模拟算法。该相应的功能调用可以用于分类以及为函数估计。该功能plotlssvm显示模型的模拟结果，在训练的区域点。-The Matlab toolbox is built around a fast LS-SVM training and simulation algorithm. The corresponding function calls can be used for classification as well as
Desktop
- 代码以若干个线性回归问题为蓝本，提出了解决线性回归问题的框架-This is a discrete data linear regression problem, the code established this regression model, provides a framework for a deal with the problem of linear regression