搜索资源列表
KPLS
- 基于核函数的偏最小二乘算法，先对原矩阵进行核函数非线性变化，再用非线性迭代求解-Kernel-based partial least-squares algorithm, first the original non-linear function of changes in the nuclear matrix, and then non-linear iterative solution
matlab
- 求反求参数（无约束非线性优化方法）的matlab实现 无约束非线性优化算法-Powell法优化子程序 matlab广义最小二乘算法程序-Reverse order parameter (unconstrained nonlinear optimization method) to achieve the matlab unconstrained nonlinear optimization algorithm-Powell method to optimize the generaliz
FitLine
- 采用最小二乘的方法拟合出了一条空间直线，用VC6.0编写的控制台程序-Using the method of least squares fitting of a straight line in space with console procedures prepared by VC6.0
fxzxec
- 非线性最小二乘拟合，经过本人精心调试成功！代码得到极大地优化-Nonlinear least squares fitting, after I carefully debugging success! Code has been greatly optimized! ! !
itoolbox
- 一些偏最小二乘法（PLS)间隔偏最小二乘(siPLS)联合区间偏最小二乘等的建模代码。-A number of partial least squares (PLS) interval partial least squares (siPLS) Joint interval partial least squares modeling code, etc..
Wiener-filter-
- 逆滤波与维纳滤波和约束最小二乘滤波复原,有助于初学者-Inverse filter and Wiener filter and constrained least squares filtering for restoration to help beginners
channelestmation
- 本程序比较了LS(最小二乘）和最小均方误差准侧下OFDM信道估计的误码率，给出了LS及MESE实现的源程序，是信道估计初学者的理想参考资料-This procedure compares the LS (least squares) and minimum mean square error of quasi-lateral channel estimation of OFDM bit error rate, given the realization of the LS and the MES
LSSVM
- 可以利用最小二乘支持向量机进行训练和预测-LSSVM for modeling and predicting.
pls1
- matlab下偏最小二乘回归模型 交叉有效性验证，及奇异点发现 -matlab partial least-squares regression model of cross-validation, and the singular points found
Code_MATLAB_Optimization
- 这是龚纯《精通MATLAB最优化计算》随书源码(M文件)。基于MATLAB优化工具箱，代码包含的内容有：牛顿法等无约束一维极值问题、单纯形搜索法等无约束多维极值问题、Rosen梯度投影法等约束优化问题、L-M法等非线性最小二乘优化问题、线性规划、整数规划、二次规划、粒子群优化、遗传算法。-This is pure Gong " Mastering MATLAB optimization calculations," with the book source (M file)
MovingLeast-SquaresMLS
- 建立了一种基于移动最小二乘(Moving Least-Squares MLS)法的曲线曲 面拟合方法 这种方法对传统的最小二乘(LS)法的作了比较大的改进 使生成的曲线曲面具 有精度高 光滑性好等许多优点 详细介绍了移动最小二乘法的原理 应用和特点 并且给 出了使用移动最小二乘法进行曲线曲面拟合的程序设计流程 最后给出了曲线拟合和空间散 乱数据曲面拟合算例 将拟合结果与最小二乘拟合结果作了比较 分析了 MLS 拟合曲线曲 面的光滑性和拟合质量 表明了该方法的优越性和有效性-W
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
lssvmpso
- 基于粒子群优化最小二乘支持向量机参数的程序，很好用-pos_lssvm
levmar-2.3
- 最新的Levenberg Marquardt 算法。用于非线性最小二乘问题的参数估计和优化！-Latest Levenberg Marquardt algorithm. Nonlinear least squares problem for parameter estimation and optimization!
LS_SVMlab
- 最小二乘支持向量机工具箱，学习支持向量机必备工具-Least squares support vector machine toolbox, an indispensable tool for learning support vector machines
LS-SVM-toolbox
- 最新最小二乘支持向量机工具箱和使用说明,里面有详细的说明和实例-the latest LS-SVM toolbox for matlab
pronyanalysis
- matlab prony算法 基于svd-tls总体最小二乘-prony analysis matlab code svd-tls
最小二乘支持向量机工具
- 采用最小二乘支持向量机完成对信号的分类，预测功能。 该工具包在2009版本上已经验证。
ls-ar
- 自编函数实现AR模型的最小二乘估计（AR阶数=4）-AR model of self-function of least squares estimation (AR order = 4)
adapt_lms
- 利用matlab编写的自适应最小二乘滤波程序-Matlab prepared using least squares adaptive filtering procedure