搜索资源列表
PLSPRED
- 偏最小二乘算法,是进行化学计量学计算的重要工具-algorithm of partial least squares
RELS
- 系统辨识与自适应控制中----递推增广最小二乘参数估计算法-Augmented recursive least squares parameter estimation
FFRLS
- 系统辨识与自适应控制---遗忘因子递推最小二乘参数估计-forgetting factor recursive least squares parameter estimation
MIMORLS
- 系统辨识与自适应控制---MIMO系统递推最小二乘参数估计(本程序针对2入2出系统)-System identification and adaptive control systems--- MIMO recursive least squares parameter estimation (the program for 2 into 2 systems)
LS
- 对最小二乘法,进行了MATLAB仿真分析,性能不错-Of least squares, for the MATLAB simulation, good performance
1D-anisotropy-inversion
- 对于一维各向异性问题,这里利用阻尼最小二乘的反演算法,结合RI反演数据集反演。-For one-dimensional anisotropic problems, where the use of damped least squares inversion algorithm, combined with the RI data set inversion inversion.
pls1
- 利用matlab来编程的计算机程序,以用来计算最小偏二乘回归用。-Using matlab to program the computer program, to be used to calculate the minimum use of partial least squares regression.
r3ls
- R3LS的matlab程序,最小二乘法的递推算法-R3LS the matlab program, recursive least squares algorithm
RLS
- 递归最小均方误差中,权矢量随迭代次数收敛曲线-recursive least squares
LSSVMlabv1_8_R2009b_R2011a
- Matlab toolbox for least squares support vector machines.
TLS
- This is about least squares algorthims
least_square_method
- 使用matlab实现最小二乘算法,计算测量的待定点的精度-Using matlab to achieve least-squares algorithm to calculate the accuracy of measurement points to be determined
ESPRIT
- esprit算法,使用最小二乘实现的,Matlab实现的-esprit algorithm, implemented using least squares, Matlab implementation
greymodel11
- GM(1,1)求解matlab代码,可计算最小二乘系数,添加了预测时间选择-GM (1,1) solve the matlab code, calculate the least squares coefficient, the timing of adding the prediction
duojiRLS
- 系统辨识中的多级最小二乘法,用于进行系统参数辨识-System identification in multi-level least-squares method for system parameter identification
xianxing-
- 一元线性回归matlabMatlab 统计工具箱用命令regress 实现多元线性回归,用的方法是最小二乘法,用 法是: b=regress(Y,X)-A linear regression matlabMatlab statistical toolbox to achieve the command regress multiple linear regression, least squares method is used, usage is: b = regress (Y, X)
fdls
- Frequency domain least squares fitting for room equalization Matlab
zuixiaoercheng
- 对实验数据利用最小二乘算法拟合,可以自行替换实验数据-Least-squares algorithm for fitting the experimental data, you can replace on their own experimental data
demo_nnls
- PLS - DN是一个有限的牛顿为解决非退化的分段线性系统的算法。 PLS - DN的展品可证明半迭代 财产即在全球范围内的精确解在有限数量的迭代算法收敛。被证明是收敛速度 至少前终止线性。 广泛的算法是在我们的AISTATS 2011纸描述:“一个非退化的分段线性系统的有限牛顿算法”。此演示包重新运行 在解决非负最小二乘法(NNLS)问题上的三个稀疏的设计矩阵,从哈威尔波音收集(达夫等人,1989年)第4.2节的实验。 随着PLS - DN,此演示包建
simulation
- 总体最小二乘方法的谐波频率估计。线性参数估计问题广泛存在于众多科学与工程学科,如信号处理、自动控制、系统理论、物理、化学工程、统计学、经济学、生物学、医学和军事工程等。最小二乘方法是最常用的线性参数估计方法。-Total least squares method of harmonic frequency estimation. Linear parameter estimation problem is widespread in many scientific and engineering