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lyngby_nn_emain

(export/lyngby/lyngby_nn_emain.m)


Function Synopsis

[V, W, EAcc, Info] = lyngby_nn_emain(X, T, arg1, arg2, arg3, ...

Help text

 lyngby_nn_emain      - Main function for Entropic Neural network 

	function [V, W] = lyngby_nn_emain(X, T, PropertyName, ...
	    PropertyValue)

       Input:    X   Neural network input
                 T   Target output

       Property: GenOptim      { {Free} | EarlyStop | 
                               HiddenUnitsEarlyStop | Pruning 
                               Pruning1DRegGridSearch |  
                               Pruning2DRegGridSearch ]
                               Generalization optimization
                 Validation    [ {SingleBlocked | 
                               BlockedCrossvalidation ]
                               How to compute the generalization
                               measure
                 TrainSet      [ {not defined} | <indices> ]
                               Indices for the training
                               set. Default is all of X.
                 ValSet        [ {not defined} | <indices> ]
                               Indices for the validation
                               set. Only used in connection with
                               "non-free" generalization
                               optimization. Default is no
                               validation set.
                 HiddenUnits   { 3 } Number of hidden units, not
                               counting the threshold unit
                 Reg           { 0.001 } Regularization parameter
                               (weight decay)
                 Seed          Seed for the random generator for
                               the weights Matlab 4.x single seed
                               generator is used. Default is no
                               seed.
                 Info          [ {0} | 1 ] Continuous information
                               about the optimization

       Output: V      Input weights
               W      Output weights
               EAcc   Evolution of error. Is dependent on the setting
                      of 'GenOptim'
               Info   Information about EAcc

       Main function for the "entropic neural network" that is the
       neural network with one binary output.

       See also LYNGBY, LYNGBY_NN_QMAIN, LYNGBY_NN_CMAIN,
                LYNGBY_NN_ETRAIN. 

 $Id: lyngby_nn_emain.m,v 1.24 2002/03/18 18:18:52 fnielsen Exp $

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