readme

人工神经网络的源码编程

                  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
[e-mail]  http://www.cns.ed.ac.uk/people/mark.html