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examples/cars/cars.pl  view on Meta::CPAN

	my ($buying,$maint,$doors,$persons,$lug_boot,$safety,$accept) = split /,/,$_;

	my $inputString = $translate{'buying'}->{$buying}. " "
	.$translate{'maint'}->{$maint}. " "
	.$translate{'doors'}->{$doors}. " "
	.$translate{'persons'}->{$persons}. " "
	.$translate{'lug_boot'}->{$lug_boot}. " "
	.$translate{'safety'}->{$safety};

	my $outputString = $translate{'accept'}->{$accept};


	my @inputArray = split / /,$inputString;
	my @outputArray = split / /,$outputString;
if (scalar @inputArray != 12 || scalar @outputArray != 2)
{
	print "--$inputString $outputString\n";
}

	push @dataArray,\@inputArray,\@outputArray;
	
}

close CARS;


######################################################################
# data now constructed, we can do the NN thing
######################################################################

use AI::NNFlex::Backprop;
use AI::NNFlex::Dataset;

my $dataset = AI::NNFlex::Dataset->new(\@dataArray);


my $network = AI::NNFlex::Backprop->new( learningrate=>.1,
				fahlmanconstant=>0.1,
				bias=>1,
				momentum=>0.6);



$network->add_layer(	nodes=>12,
			activationfunction=>"tanh");


$network->add_layer(	nodes=>12,
			activationfunction=>"tanh");

$network->add_layer(	nodes=>2,
			activationfunction=>"linear");


$network->init();

$network->connect(fromlayer=>2,tolayer=>2);

my $counter=0;
my $err = 10;
while ($err >.001)
{
	$err = $dataset->learn($network);

	print "Epoch $counter: Error = $err\n";
	$counter++;
}


foreach (@{$dataset->run($network)})
{
	foreach (@$_){print $_}
	print "\n";	
}