搜索资源列表
Regpyrim
- 使用最小二乘支持向量机对多维pyrim数据进行回归,需要下载最小二乘支持向量机工具箱。-use of least squares support vector machines for multidimensional data pyrim return need to download least squares support vector machines toolbox.
LS-SVMlab1.5aw
- 最小二乘支持向量机MATLAB实现源代码,可以用于模式识别以及回归,DEMOCLASS是使用方法示例-least squares support vector machines MATLAB source code, can be used for pattern recognition and regression, DEMOCLASS example is the use of
ridgeregresssvm
- 最小二乘支持向量机岭回归函数,可以进行预测和分类-least squares support vector machine regression function Ridge, forecasts and classification
fiuniu-V3.4
- 最小二乘回归分析算法,单径或多径瑞利衰落信道仿真,用于图像处理的独立分量分析。- Least-squares regression analysis algorithm, Single path or multipath Rayleigh fading channel simulation, Independent component analysis for image processing.
1501
- 各种资源分配算法实现,数据模型归一化,模态振动,最小二乘回归分析算法。- Various resource allocation algorithm, Normalized data model, modal vibration, Least-squares regression analysis algorithm.
1204
- 最小二乘回归分析算法,一些自适应信号处理的算法,双向PCS控制仿真。- Least-squares regression analysis algorithm, Some adaptive signal processing algorithms, Two-way PCS control simulation.
ns834
- 内含心电信号数据及运用MATLAB写的源代码,预报误差法参数辨识-松弛的思想,最小二乘回归分析算法。- ECG data and includes source code written in MATLAB, Prediction Error Method for Parameter Identification- the idea of relaxation, Least-squares regression analysis algorithm.
ridge regression1
- 岭回归(英文名:ridge regression, Tikhonov regularization)是一种专用于共线性数据分析的有偏估计回归方法,实质上是一种改良的最小二乘估计法,通过放弃最小二乘法的无偏性,以损失部分信息、降低精度为代价获得回归系数更为符合实际、更可靠的回归方法,对病态数据的拟合要强于最小二乘法。 总之,本文档是岭回归的R语言实现代码,主要用于解决当模型中出现多重共线性问题,尤其是当你所有的解释变量都很重要,又无法通过其他检验来删除时,岭回归是一个很好的解决办法。(Ridge
The Unscrambler 9.7破解版(附破解方法)
- 可用于光谱预处理、偏最小二乘回归、主成分回归(It can be used in spectral pretreatment, partial least squares regression and principal component regression)
pls_matlab
- 偏最小二乘回归分析原理介绍及MATLAB例程(The principle of partial least squares regression analysis and MATLAB routines)
PLS的交叉有效分析
- 偏最小二乘回归在matlap中的实现,源代码,有交叉效应(The implementation of partial least squares regression in matlap, source code, cross effect)
算法大全
- 介绍各种数学算法,文档中也注有部分代码,类似有偏最小二乘回归啊等等!(Introduction to a variety of mathematical algorithms, the document also note that part of the code, similar to partial least squares regression ah!)
linear_regression
- 线性回归是利用称为线性回归方程的最小二乘函数对一个或多个自变量和因变量之间关系进行建模的一种回归分析(Linear regression is a regression analysis based on the least squares function of linear regression equation, which is used to model the relationship between one or more independent variables and dep
pls(1)
- 自己编写的偏最小二乘回归模型matlab程序,附带详细的说明。 (Matlab partial least squares regression procedures, with detailed instructions.)((Matlab partial least squares regression procedures, with detailed instructions.))
PLSMATLAB
- 偏最小二乘回归的MATLAB实现,数据是贝壳的光谱数据,附带了平滑预处理程序(MATLAB implementation of partial least squares regression)
PLSUVE
- 基于偏最小二乘回归的matlab中无信息变量消除算法的特征选择(Feature Selection of No Information Variable Elimination Algorithm in Matlab Based on Partial Least Squares Regression)
5826
- 一个师兄的毕设,最小二乘回归分析算法,基于kaiser窗的双谱线插值FFT谐波分析。( A complete set of brothers, Least-squares regression analysis algorithm, Dual-line interpolation FFT harmonic analysis kaiser windows.)
PLS模型样本分类matlab代码
- 偏最小二乘回归提供一种多对多线性回归建模的方法,特别当两组变量的个数很 多,且都存在多重相关性,而观测数据的数量(样本量)又较少时,用偏最小二乘回归 建立的模型具有传统的经典回归分析等方法所没有的优点。 偏最小二乘回归分析在建模过程中集中了主成分分析,典型相关分析和线性回归分 析方法的特点,因此在分析结果中,除了可以提供一个更为合理的回归模型外,还可以 同时完成一些类似于主成分分析和典型相关分析的研究内容,提供更丰富、深入的一些 信息。
lasso
- 线性回归里的最小二乘估计,以及应用坐标下降的岭回归和Lasso的回归的python实现(Ridge regression and Lasso regression)
ga-pls
- GA-PLS, GA GA-PLS,遗传-偏最小二乘回归算法(GA-PLS, GA GA-PLS,GA-PLS, GA GA-PLS,)