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lyngby_nn_cmain

(export/lyngby/lyngby_nn_cmain.m)


Function Synopsis

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

Help text

 lyngby_nn_cmain      - Main functions for classifier neural network

	function [V, W, EAcc, Info] = ...
           lyngby_nn_cmain(X, T, PropertyName, PropertyValue)

       Input:  X   Neural network input
               T   Target output
               Property:
                 GenOptim      { {Free} | EarlyStop | 
                               HiddenUnitsEarlyStop | Pruning |
                               Pruning1DRegGridSearch |
                               Pruning2DRegGridSearch ]
                               Generalization optimization
                 Validation    [ {SingleBlocked} ]
                               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 ] Determines whether the
                               iterations, costfunction value and
                               gradient should be continouosly be
                               displayed

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

       Classifier neural network for multiple output, ie. more than
       two classes.

       See also LYNGBY_NN_EMAIN, LYNGBY_NN_QMAIN, LYNGBY_NN_CTRAIN.

Cross-Reference Information

This function calls

Produced by mat2html on Wed Jul 29 15:43:40 2009
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