rbf
所属分类:matlab编程
开发工具:matlab
文件大小:1121KB
下载次数:9
上传日期:2018-01-11 13:23:07
上 传 者:
jeffrocky
说明: 该工具箱提高了径向基函数的matlab编码,能够实现函数拟合,用于黑箱问题优化
(Approximation and optimizaiton for black-box problems)
文件列表:
rbf (0, 2018-01-11)
rbf\Archive (0, 2018-01-11)
rbf\Archive\VersionHistory (2079, 1997-02-25)
rbf\Manual (0, 2018-01-11)
rbf\Manual\manual-even.log (89, 2013-09-21)
rbf\Manual\manual-even.pdf (240882, 2013-09-21)
rbf\Manual\manual-even.ps (256221, 1997-02-25)
rbf\Manual\manual-odd.log (89, 2013-09-21)
rbf\Manual\manual-odd.pdf (320451, 2013-09-21)
rbf\Manual\manual-odd.ps (346361, 1997-02-25)
rbf\Manual\manual.log (89, 2013-09-21)
rbf\Manual\manual.pdf (435078, 2013-09-21)
rbf\Manual\manual.ps (515833, 1997-02-25)
rbf\RadialBasisFunctions (0, 2018-01-11)
rbf\RadialBasisFunctions\rbfDesign.m (3089, 1996-02-22)
rbf\RadialBasisFunctions\rbfDesignExample.m (1159, 2013-09-22)
rbf\RidgeRegression (0, 2018-01-11)
rbf\RidgeRegression\globalRidge.m (8476, 2013-09-23)
rbf\RidgeRegression\globalRidgeExample.m (3601, 1996-04-17)
rbf\RidgeRegression\globalRidgeExample.mat (2444, 1996-01-11)
rbf\RidgeRegression\localRidge.m (7590, 1997-02-25)
rbf\RidgeRegression\localRidgeExample.m (2131, 1996-04-02)
rbf\RidgeRegression\localRidgeExample.mat (1644, 1996-02-09)
rbf\RidgeRegression\localRidgeJ.m (5322, 1996-02-07)
rbf\RidgeRegression\predictError.m (3764, 1997-02-25)
rbf\RidgeRegression\predictErrorExample.m (1142, 2013-09-22)
rbf\RidgeRegression\predictErrorExample.mat (844, 1996-02-15)
rbf\SubsetSelection (0, 2018-01-11)
rbf\SubsetSelection\forwardSelect.m (16675, 1997-02-25)
rbf\SubsetSelection\forwardSelectExampl.m (1724, 1996-04-02)
rbf\SubsetSelection\forwardSelectExampl.mat (1644, 1996-02-09)
rbf\Tutorial (0, 2018-01-11)
rbf\Tutorial\introExample.m (5299, 1996-02-15)
rbf\Tutorial\introExample.mat (844, 1996-02-13)
... ...
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.
-----------------------------------------------------------------
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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