352414rbf1
所属分类:人工智能/神经网络/深度学习
开发工具:Visual C++
文件大小:775KB
下载次数:208
上传日期:2006-03-15 17:09:58
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说明: 人工神经网络的源码编程,RBF训练和识别程序,C++的,供大家参考!
(ANN-source programming, RBF training and the identification procedures, C++, for your reference!)
文件列表:
352414rbf1 (0, 2005-06-22)
352414rbf1\rbf (0, 2005-06-22)
352414rbf1\rbf\Archive (0, 2005-06-22)
352414rbf1\rbf\Archive\VersionHistory (2079, 1997-02-25)
352414rbf1\rbf\Manual (0, 2005-06-22)
352414rbf1\rbf\Manual\manual-even.ps (256221, 1997-02-25)
352414rbf1\rbf\Manual\manual-odd.ps (346361, 1997-02-25)
352414rbf1\rbf\Manual\manual.log (88, 2004-12-27)
352414rbf1\rbf\Manual\manual.pdf (535879, 2004-12-27)
352414rbf1\rbf\Manual\manual.ps (515833, 1997-02-25)
352414rbf1\rbf\RadialBasisFunctions (0, 2005-06-22)
352414rbf1\rbf\RadialBasisFunctions\rbfDesign.m (3089, 1996-02-22)
352414rbf1\rbf\RadialBasisFunctions\rbfDesignExample.m (1157, 1996-02-12)
352414rbf1\rbf\RidgeRegression (0, 2005-06-22)
352414rbf1\rbf\RidgeRegression\globalRidge.m (8478, 1997-02-25)
352414rbf1\rbf\RidgeRegression\globalRidgeExample.m (3601, 1996-04-17)
352414rbf1\rbf\RidgeRegression\globalRidgeExample.mat (2444, 1996-01-11)
352414rbf1\rbf\RidgeRegression\localRidge.m (7590, 1997-02-25)
352414rbf1\rbf\RidgeRegression\localRidgeExample.m (2131, 1996-04-02)
352414rbf1\rbf\RidgeRegression\localRidgeExample.mat (1644, 1996-02-09)
352414rbf1\rbf\RidgeRegression\localRidgeJ.m (5322, 1996-02-07)
352414rbf1\rbf\RidgeRegression\predictError.m (3764, 1997-02-25)
352414rbf1\rbf\RidgeRegression\predictErrorExample.m (1142, 1996-02-15)
352414rbf1\rbf\RidgeRegression\predictErrorExample.mat (844, 1996-02-15)
352414rbf1\rbf\startup.m (595, 1996-04-02)
352414rbf1\rbf\SubsetSelection (0, 2005-06-22)
352414rbf1\rbf\SubsetSelection\forwardSelect.m (16675, 1997-02-25)
352414rbf1\rbf\SubsetSelection\forwardSelectExampl.m (1724, 1996-04-02)
352414rbf1\rbf\SubsetSelection\forwardSelectExampl.mat (1644, 1996-02-09)
352414rbf1\rbf\Tutorial (0, 2005-06-22)
352414rbf1\rbf\Tutorial\introExample.m (5299, 1996-02-15)
352414rbf1\rbf\Tutorial\introExample.mat (844, 1996-02-13)
352414rbf1\rbf\Utilities (0, 2005-06-22)
352414rbf1\rbf\Utilities\colSum.m (435, 1996-01-16)
... ...
Matlab Routines
for
Subset Selection
and
Ridge Regression
in
Linear Neural Networks
Version 1.013
February 25, 1997
The subdirectories below contain Matlab code and a postscript
manual document for various algorithms to do with supervised
learning using linear networks, particularly radial basis function
networks. There is also Matlab code to re-run the examples given
in the manual.
If you start Matlab in this directory (so it reads ./startup.m)
you will be able to run the example programs, e.g.
forwardSelectExampl.m
globalRidgeExample.m
localRidgeExample.m.
You may wish to incorporate parts of ./startup.m in your main
startup.m file in $MATLABPATH (see the comments in ./startup.m).
A brief description of the contents of each subdirectory follows.
For further details see the ReadMe files in the subdirectories.
Manual/
The postscript document manual.ps.
RadialBasisFunctions/
rbfDesign.m for creating the design matrices of radial
basis function networks given the basis function type,
the centre positions, the centre sizes and the training
set inputs.
RidgeRegression/
globalRidge.m for optimising a single regularisation
parameter given a design matrix and the training outputs.
The example program globalRidgeExample.m.
localRidge.m for optimising multiple regularisation
parameters given a design matrix and the training outputs.
The example program localRidgeExample.m.
predictError.m for calculating various types of errors
(e.g. GCV) given a design, the training outputs and a
choice for the regularisation parameter(s).
The example program predictErrorExample.m.
SubsetSelection/
forwardSelect.m for forward selecting a subset given a
selection set design, the training outputs and various
options for controlling the search and regularisation.
The example program forwardSelectExampl.m.
Tutorial/
introExample.m to run the example given in the Tutorial
Introduction section of the manual.
Utilities/
Some useful little subroutines.
Archive/
Version history.
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Mark J L Orr, Centre for Cognitive Science, Edinburgh University
mark@cns.ed.ac.uk http://www.cns.ed.ac.uk/people/mark.html
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