文件列表:

rbf\Archive\VersionHistory (2079, 1997-02-25)
rbf\Manual\manual-even.ps (256221, 1997-02-25)
rbf\Manual\manual-odd.ps (346361, 1997-02-25)
rbf\Manual\manual.ps (515833, 1997-02-25)
rbf\RadialBasisFunctions\rbfDesign.m (3089, 1996-02-22)
rbf\RadialBasisFunctions\rbfDesignExample.m (1157, 1996-02-12)
rbf\RidgeRegression\globalRidge.m (8478, 1997-02-25)
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, 1996-02-15)
rbf\RidgeRegression\predictErrorExample.mat (844, 1996-02-15)
rbf\startup.m (595, 1996-04-02)
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\introExample.m (5299, 1996-02-15)
rbf\Tutorial\introExample.mat (844, 1996-02-13)
rbf\Utilities\colSum.m (435, 1996-01-16)
rbf\Utilities\diagProduct.m (601, 1996-08-02)
rbf\Utilities\dupCol.m (394, 1996-01-16)
rbf\Utilities\dupRow.m (382, 1996-01-16)
rbf\Utilities\getNextArg.m (932, 1996-01-16)
rbf\Utilities\overWrite.m (723, 1996-01-30)
rbf\Utilities\rowSum.m (260, 1996-01-16)
rbf\Utilities\traceProduct.m (414, 1996-04-04)

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

近期下载者：

相关文件：

评论：[我要评论] [举报此文件]

收藏者：