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perl-AI-NeuralNet-BackProp

Simple back-prop neural net that uses Delta's and Hebbs' rule

AI::NeuralNet::BackProp is a simply back-propagation, feed-foward neural network designed to learn using a generalization of the Delta rule and a bit of Hopefield theory.
Homepage:
Package version:0.89
Architecture:noarch
Distribution:RPMForge
Filename:perl-AI-NeuralNet-BackProp-0.89-1.el5.rf.noarch.rpm

/usr/share/doc/perl-AI-NeuralNet-BackProp-0.89/README

Greetings Perlfolk,

** What is this?

AI::NeuralNet::BackProp is a simply back-propagation,
feed-foward neural network designed to learn using
a generalization of the Delta rule and a bit of Hopefield
theory. 

** What's new?

From the POD:
This is version 0.89. In this version I have included a
new feature, output range limits, as well as automatic
crunching of run() and learn*() i
more»

/usr/share/man/man3/AI::NeuralNet::BackProp.3pm.gz

BackProp(3)      User Contributed Perl Documentation     BackProp(3)



NAME
       AI::NeuralNet::BackProp - A simple back-prop neural net that
       uses Delta's and Hebbs' rule.

SYNOPSIS
       use AI::NeuralNet::BackProp;

               # Create a new network with 1 layer, 5 inputs, and 5 outputs.
               my $net = new AI::NeuralNet::BackProp(1,5,5);

               # Add a small amo
more»

/usr/share/doc/perl-AI-NeuralNet-BackProp-0.89/Changes

Revision history for Perl extension AI::NeuralNet::BackProp.

0.40  Fri Jul 21 02:19:50 2000
        - original version; created by Josiah Bryan

0.42  Wed Jul 26 05:30:19 2000
        - upgrade patch, by Josiah Bryan

0.77  Sat Aug 11 03:27:29 2000
        - major internal revision, by Josiah Bryan               

0.89  Thu Aug 17 03:01:11 2000
        - multiple minor revisions, by J
more»

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