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rbfnn3
- 用matlab写的三个径向基神经网络程序，分别为基于聚类的RBF，基于梯度法的RBF ，基于OLS 的RBF神经网络-using Matlab wrote three RBFNN procedures were based on the clustering of RBF, Based on the RBF gradient method, based on the OLS RBFNN
rbf.three
- 基于OLS 的RBF 网设计算法，适用于大专本科毕业设计，以及专业技术人员参考
OLSSA
- 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
Untitled7
- 基于OLS 的RBF 网设计算法，可用！需要的下
Seven-RBF_NN--code
- 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
RBF_OLS
- 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
ols
- 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
RBFNN
- 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 y
ols
- 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
HW1_3
- system identification with OLS input selection
jbes_92m
- FMOLS 比OLS更加科学合理，强烈推荐使用-FMOLS
TS-Fuzzy_Models
- TS-Fuzzy Model模糊系统论文pdf文件以及Matlab code源码，对学习很有帮助。-paper: "Compact TS-Fuzzy Models through Clustering and OLS plus FIS Model Reduction" and Matlab code.
1114
- 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
arx_mine
- ARX linear model to estimate by OLS the parameters of single endogenous variable as a function of its own q=>1 lags and the p=>0 lags of m=>1 exogenous variable(s).
OLS(GLS)
- 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
RBF_OLS.m
- 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!
ols
- 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
ols-(1)
- 正交最小二乘求解病态矩阵问题-ols method to solve
OLS
- 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
ols -sam
- 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.)