CodeBus
www.codebus.net
Search
Sign in
Sign up
Hot Search :
Source
embeded
web
remote control
p2p
game
More...
Location :
Home
Search - ols
Main Category
SourceCode
Documents
Books
WEB Code
Develop Tools
Other resource
Search - ols - List
[
Audio program
]
wols
DL : 0
wavelet ols是小波最小二乘法是用來估計長期記憶性的工具,非常好用-wavelet wavelet ols is the least square method is used to estimate the long-term memory tool, very easy to use
Update
: 2025-02-19
Size
: 2kb
Publisher
:
Austin Huang
[
Data structs
]
OLSSA
DL : 0
自己实现的一种数据流上的分段算法,基于软件学报上的一篇OLS算法的论文,效果和论文中实验基本一致-Themselves realize a data stream on the sub-algorithm, Journal of the software-based algorithm for an OLS paper, effects and experiments are basically the same paper
Update
: 2025-02-19
Size
: 1kb
Publisher
:
ZhaoZhe
[
Windows Develop
]
OLS
DL : 0
C++做的逐步回归分析程序,用于数据统计分析建模。-C++ Make the stepwise regression analysis procedures, statistical analysis for data modeling.
Update
: 2025-02-19
Size
: 1kb
Publisher
:
李建伟
[
matlab
]
ols
DL : 0
最小二乘法原理及其MATLAB实现 线性拟合 多项式拟合 非线性拟合程序-Principle and MATLAB least squares linear fitting polynomial fitting nonlinear fitting procedure
Update
: 2025-02-19
Size
: 1kb
Publisher
:
晓柳
[
Other
]
RBF_sourcecode
DL : 0
RBF学习方法,包括了:k-means、梯度、OLS三种方法。-RBF learning methods, including: k-means, gradient, OLS three types.
Update
: 2025-02-19
Size
: 4kb
Publisher
:
stephen
[
matlab
]
RBFNN
DL : 0
Three function for RBF neural network, using OLS,Rand and SGA function [newcenter,sigma,W,yh,rmse]=rbfols(p,t,tol) p 為輸入資料點,N×K矩陣,N是輸入資料維度,K是資料點數 t 為目標輸出值,1×K矩陣 tol 為指定容忍度或正確率 centers選定中心點,N×nc矩陣 sigma為 ? 值 W為輸出層權重,nc×1矩陣 yh為網路輸出值,1×K矩陣 rmse 為目標輸出值與網路輸出值之RMSE-Three function for RBF neural network, using OLS,Rand and SGA function [newcenter,sigma,W,yh,rmse]=rbfols(p,t,tol) p 為輸入資料點,N×K矩陣,N是輸入資料維度,K是資料點數 t 為目標輸出值,1×K矩陣 tol 為指定容忍度或正確率 centers選定中心點,N×nc矩陣 sigma為 ? 值 W為輸出層權重,nc×1矩陣 yh為網路輸出值,1×K矩陣 rmse 為目標輸出值與網路輸出值之RMSE
Update
: 2025-02-19
Size
: 2kb
Publisher
:
aaronwu
[
matlab
]
ols
DL : 0
正交最小二乘辨识算法 该算法除了实现最小二乘辨识功能之外而且能按照各项重要性将其逐一选出并且估计相应系数-OLS Orthogonal Least Quares. [x, ind] = OLS(A,b,r) gives the solution to the least squares problem using only the best r regressors chosen from the ones present in matrix A. This function also returns in the vector ind the indexes of the best r regressors (i.e., the best columns of A to use). If r is equal to n, the solution x given by OLS is the same as the solution given by A\b, but in ind we still have the regressors sorted by their importance. This means that one can perform a feature selection by taking the first k entries in ind (k<r).
Update
: 2025-02-19
Size
: 5kb
Publisher
:
王詹
[
Algorithm
]
1114
DL : 0
最小二乘法(OLS)和线性回归模型.ppt 内容含有具体计算过程详解、实例-Least squares (OLS) and linear regression model. Ppt Elaboration on the Course content includes specific calculations, examples
Update
: 2025-02-19
Size
: 219kb
Publisher
:
kong
[
AI-NN-PR
]
RBF_OLS
DL : 0
此程序是神经网络中径向基函数的OLS算法,在MATLAB中实现。用一个2-n-1结构的RBF网对SISO系统进行建模,网络的两个输入为u(k-1)和y(k-1),输出为 y(k)。令y(0)=0,按飞线性系统产生200个样本,其中前100个样本用于训练,后100个样本用于测试。-This program is the radial basis function neural network of OLS algorithm is implemented in MATLAB. With a 2-n-1 structure of RBF network model of the SISO system, the network of two input u (k-1) and y (k-1), output y (k). So that y (0) = 0, the linear system produced by flying 200 samples, of which the first 100 samples for training, after 100 samples for testing.
Update
: 2025-02-19
Size
: 1kb
Publisher
:
lingyun
[
Algorithm
]
OLS(GLS)
DL : 0
网上的最小二乘法(GLS,OLS)大多只是个演示例子,并不能直接拿来用。本人对最小二乘法进行了封装,只保留了一个对外的接口函数,并附有详尽的参数列表说明,只需将两个文件加入到VC的工程中,使用时只需 #include "les.h" 后就可调用最小二乘法函数了。非常方便,可是包含了我的劳动成果的哟!-Most of least squares line is just a demonstration example, and can not be directly used. I carried the package to the least squares method, leaving only one external interface functions, together with a detailed description of the parameter list, simply add the two files to the VC of the project, use only# include " les.h " After the least squares method can call the function. Very convenient, but contains the results of my work yo!
Update
: 2025-02-19
Size
: 2kb
Publisher
:
sjl
[
AI-NN-PR
]
Seven-RBF_NN--code
DL : 0
七个RBF神经网络的源代码:基于梯度法、OLS 、聚类、k均值聚类、函数逼近的RBF 网设计算法,及预测模型 -Seven RBF neural network source code: gradient-based method, OLS, clustering, k-means clustering, function approximation of the RBF network design algorithms, and predictive models
Update
: 2025-02-19
Size
: 8kb
Publisher
:
xuliangliang
[
matlab
]
RBF_OLS.m
DL : 0
rbf OLS 网络来做预测,过程很适合初学者懂的。很详细,很容易的!-To make the forecast RBF OLS network, the process is very suitable for beginners understand. Very detailed, easy!
Update
: 2025-02-19
Size
: 1kb
Publisher
:
yuanjianzhou
[
transportation applications
]
OLS-rbf
DL : 0
OLS rbt neural network BP
Update
: 2025-02-19
Size
: 1kb
Publisher
:
NusaLM
[
matlab
]
ols
DL : 0
自己编写的一维OLS算法,拟合效果还不错-I have written a one-dimensional OLS algorithm, the results were pretty good fit
Update
: 2025-02-19
Size
: 2kb
Publisher
:
李玲
[
Linux driver
]
ols-0.9.7-RC1-full.tar
DL : 0
OLS Client Software for 64bit Linux and open-jdk
Update
: 2025-02-19
Size
: 4.4mb
Publisher
:
urs42
[
matlab
]
ols-(1)
DL : 0
正交最小二乘求解病态矩阵问题-ols method to solve
Update
: 2025-02-19
Size
: 5kb
Publisher
:
humin
[
matlab
]
OLS
DL : 0
This an implementation of OLS algorithm. I uploaded data with it but you should use your own input and output-This is an implementation of OLS algorithm. I uploaded data with it but you should use your own input and output
Update
: 2025-02-19
Size
: 16kb
Publisher
:
elaheh
[
Other
]
ols-0.9.6.1-full
DL : 0
ols c c++ driver i am uploading only to download this is stupid
Update
: 2025-02-19
Size
: 4.19mb
Publisher
:
Farhan
[
Algorithm
]
ols -sam
DL : 0
如何采用最小二乘法调整最小二乘法使之平衡。(Using the OLS to adjust the SAM.)
Update
: 2025-02-19
Size
: 9kb
Publisher
:
shellyshuang
[
Other
]
OLS-panel-matlab代码
DL : 0
针对静态普通面板的回归代码;对空间固定和时期固定及空间与时间双固定模型(OLS panel data,spatial-fixed effects and spatial time-period fixed effects)
Update
: 2025-02-19
Size
: 10kb
Publisher
:
xiaomaguohe
«
1
2
3
4
5
»
CodeBus
is one of the largest source code repositories on the Internet!
Contact us :
1999-2046
CodeBus
All Rights Reserved.