AI-NeuralNet-Mesh
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#!/usr/bin/perl
# Copyright (c) 2000 Josiah Bryan USA
#
# See AUTHOR section in pod text below for usage and distribution rights.
#
BEGIN {
$AI::NeuralNet::Mesh::VERSION = "0.44";
$AI::NeuralNet::Mesh::ID =
'$Id: AI::NeuralNet::Mesh.pm, v'.$AI::NeuralNet::Mesh::VERSION.' 2000/15/09 03:29:08 josiah Exp $';
}
package AI::NeuralNet::Mesh;
require Exporter;
@ISA = qw(Exporter);
@EXPORT = qw(range intr pdiff);
%EXPORT_TAGS = (
'default' => [ qw ( range intr pdiff )],
'all' => [ qw ( p low high ramp and_gate or_gate range intr pdiff ) ],
'p' => [ qw ( p low high intr pdiff ) ],
'acts' => [ qw ( ramp and_gate or_gate range ) ],
);
@EXPORT_OK = ( @{ $EXPORT_TAGS{'all'} }, qw( p low high ramp and_gate or_gate ) );
use strict;
use Benchmark;
# See POD for usage of this variable.
$AI::NeuralNet::Mesh::Connector = '_c';
# Debugging subs
$AI::NeuralNet::Mesh::DEBUG = 0;
sub whowasi { (caller(1))[3] . '()' }
sub debug { shift; $AI::NeuralNet::Mesh::DEBUG = shift || 0; }
sub d { shift if(substr($_[0],0,4) eq 'AI::'); my ($a,$b,$c)=(shift,shift,$AI::NeuralNet::Mesh::DEBUG); print $a if($c == $b); return $c }
sub verbose {debug @_};
sub verbosity {debug @_};
sub v {debug @_};
# Return version of ::ID string passed or current version of this
# module if no string is passed. Used in load() to detect file versions.
sub version {
shift if(substr($_[0],0,4) eq 'AI::');
substr((split(/\s/,(shift || $AI::NeuralNet::Mesh::ID)))[2],1);
}
# Rounds a floating-point to an integer with int() and sprintf()
sub intr {
shift if(substr($_[0],0,4) eq 'AI::');
try { return int(sprintf("%.0f",shift)) }
catch { return 0 }
}
# Package constructor
sub new {
no strict 'refs';
my $type = shift;
my $self = {};
my $layers = shift;
my $nodes = shift;
my $outputs = shift || $nodes;
my $inputs = shift || $nodes;
bless $self, $type;
# If $layers is a string, then it will be numerically equal to 0, so
# try to load it as a network file.
if($layers == 0) {
# We use a "1" flag as the second argument to indicate that we
# want load() to call the new constructor to make a network the
# same size as in the file and return a refrence to the network,
# instead of just creating the network from pre-exisiting refrence
return $self->load($layers,1);
}
# Looks like we got ourselves a layer specs array
if(ref($layers) eq "ARRAY") {
if(ref($layers->[0]) eq "HASH") {
$self->{total_nodes} = 0;
$self->{inputs} = $layers->[0]->{nodes};
$self->{nodes} = $layers->[0]->{nodes};
$self->{outputs} = $layers->[$#{$layers}]->{nodes};
$self->{total_layers} = $#{$layers};
for (0..$#{$layers}){$self->{layers}->[$_] = $layers->[$_]->{nodes}}
for (0..$self->{total_layers}){$self->{total_nodes}+=$self->{layers}->[$_]}
} else {
$self->{inputs} = $layers->[0];
$self->{nodes} = $layers->[0];
$self->{outputs} = $layers->[$#{$layers}];
$self->{layers} = $layers;
$self->{total_layers} = $#{$self->{layers}};
$self->{total_nodes} = 0;
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