AI-NeuralNet-Hopfield
view release on metacpan or search on metacpan
},
"name" : "AI-NeuralNet-Hopfield",
"no_index" : {
"directory" : [
"t",
"inc"
]
},
"prereqs" : {
"build" : {
"requires" : {
"Test::More" : 0
}
},
"configure" : {
"requires" : {
"ExtUtils::MakeMaker" : 0
}
},
"runtime" : {
"requires" : {
"Math::SparseMatrix" : "0.03",
"Moose" : "2.0604",
"perl" : "5.006"
}
}
},
"release_status" : "stable",
"version" : "0.1"
}
---
abstract: 'A simple Hopfiled Network Implementation.'
author:
- 'leprevost <leprevost@cpan.org>'
build_requires:
Test::More: 0
configure_requires:
ExtUtils::MakeMaker: 0
dynamic_config: 1
generated_by: 'ExtUtils::MakeMaker version 6.64, CPAN::Meta::Converter version 2.112621'
license: perl
meta-spec:
url: http://module-build.sourceforge.net/META-spec-v1.4.html
version: 1.4
name: AI-NeuralNet-Hopfield
no_index:
directory:
- t
- inc
requires:
Math::SparseMatrix: 0.03
Moose: 2.0604
perl: 5.006
version: 0.1
If your Modified Version has been derived from a Modified Version made
by someone other than you, you are nevertheless required to ensure that
your Modified Version complies with the requirements of this license.
This license does not grant you the right to use any trademark, service
mark, tradename, or logo of the Copyright Holder.
This license includes the non-exclusive, worldwide, free-of-charge
patent license to make, have made, use, offer to sell, sell, import and
otherwise transfer the Package with respect to any patent claims
licensable by the Copyright Holder that are necessarily infringed by the
Package. If you institute patent litigation (including a cross-claim or
counterclaim) against any party alleging that the Package constitutes
direct or contributory patent infringement, then this Artistic License
to you shall terminate on the date that such litigation is filed.
Disclaimer of Warranty: THE PACKAGE IS PROVIDED BY THE COPYRIGHT HOLDER
AND CONTRIBUTORS "AS IS' AND WITHOUT ANY EXPRESS OR IMPLIED WARRANTIES.
THE IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR
PURPOSE, OR NON-INFRINGEMENT ARE DISCLAIMED TO THE EXTENT PERMITTED BY
lib/AI/NeuralNet/Hopfield.pm view on Meta::CPAN
$output[$col - 1] = "false";
}
}
return @output;
}
sub convert_array() {
my $rows = shift;
my $cols = shift;
my @pattern = @_;
my $result = Math::SparseMatrix->new(1, $cols);
for (my $i = 0; $i < ($#pattern + 1); $i++) {
if ($pattern[$i] =~ m/true/ig) {
$result->set(1, ($i +1 ), 1);
} else {
$result->set(1, ($i + 1), -1);
}
}
return $result;
}
sub transpose() {
my $matrix = shift;
my $rows = $matrix->{_rows};
my $cols = $matrix->{_cols};
my $inverse = Math::SparseMatrix->new($cols, $rows);
for (my $r = 1; $r <= $rows; $r++) {
lib/AI/NeuralNet/Hopfield.pm view on Meta::CPAN
sub multiply() {
my $matrix_a = shift;
my $matrix_b = shift;
my $a_rows = $matrix_a->{_rows};
my $a_cols = $matrix_a->{_cols};
my $b_rows = $matrix_b->{_rows};
my $b_cols = $matrix_b->{_cols};
my $result = Math::SparseMatrix->new($a_rows, $b_cols);
if ($matrix_a->{_cols} != $matrix_b->{_rows}) {
die "To use ordinary matrix multiplication the number of columns on the first matrix must mat the number of rows on the second";
}
for (my $result_row = 1; $result_row <= $a_rows; $result_row++) {
for(my $result_col = 1; $result_col <= $b_cols; $result_col++) {
my $value = 0;
for (my $i = 1; $i <= $a_cols; $i++) {
$value += ($matrix_a->get($result_row, $i)) * ($matrix_b->get($i, $result_col));
}
$result->set($result_row, $result_col, $value);
}
}
return $result;
}
sub identity() {
my $size = shift;
if ($size < 1) {
die "Identity matrix must be at least of size 1.";
}
my $result = Math::SparseMatrix->new ($size, $size);
for (my $i = 1; $i <= $size; $i++) {
$result->set($i, $i, 1);
}
return $result;
}
sub subtract() {
my $matrix_a = shift;
my $matrix_b = shift;
my $a_rows = $matrix_a->{_rows};
my $a_cols = $matrix_a->{_cols};
my $b_rows = $matrix_b->{_rows};
my $b_cols = $matrix_b->{_cols};
if ($a_rows != $b_rows) {
die "To subtract the matrixes they must have the same number of rows and columns.";
}
if ($a_cols != $b_cols) {
die "To subtract the matrixes they must have the same number of rows and columns. Matrix a has ";
}
my $result = Math::SparseMatrix->new($a_rows, $a_cols);
for (my $result_row = 1; $result_row <= $a_rows; $result_row++) {
for (my $result_col = 1; $result_col <= $a_cols; $result_col++) {
my $value = ( $matrix_a->get($result_row, $result_col) ) - ( $matrix_b->get($result_row, $result_col));
if ($value == 0) {
$value += 2;
}
$result->set($result_row, $result_col, $value);
}
}
return $result;
}
sub add() {
#weight matrix.
my $matrix_a = shift;
#identity matrix.
my $matrix_b = shift;
my $a_rows = $matrix_a->{_rows};
my $a_cols = $matrix_a->{_cols};
lib/AI/NeuralNet/Hopfield.pm view on Meta::CPAN
my $b_cols = $matrix_b->{_cols};
if ($a_rows != $b_rows) {
die "To add the matrixes they must have the same number of rows and columns.";
}
if ($a_cols != $b_cols) {
die "To add the matrixes they must have the same number of rows and columns.";
}
my $result = Math::SparseMatrix->new($a_rows, $a_cols);
for (my $result_row = 1; $result_row <= $a_rows; $result_row++) {
for (my $result_col = 1; $result_col <= $a_cols; $result_col++) {
my $value = $matrix_b->get($result_row, $result_col);
$result->set($result_row, $result_col, $matrix_a->get($result_row, $result_col) + $value )
}
}
return $result;
}
sub dot_product() {
my $matrix_a = shift;
my $matrix_b = shift;
my $a_rows = $matrix_a->{_rows};
my $a_cols = $matrix_a->{_cols};
my $b_rows = $matrix_b->{_rows};
lib/AI/NeuralNet/Hopfield.pm view on Meta::CPAN
for (my $n = 0; $n <= $#array_b; $n++) {
if ($array_b[$n] == 2) {
$array_b[$n] = 0;
}
}
if ($#array_a != $#array_b) {
die "To take the dot product, both matrixes must be of the same length.";
}
my $result = 0;
my $length = $#array_a + 1;
for (my $i = 0; $i < $length; $i++) {
$result += $array_a[$i] * $array_b[$i];
}
return $result;
}
sub packed_array() {
my $matrix = shift;
my @result = ();
for (my $r = 1; $r <= $matrix->{_rows}; $r++) {
for (my $c = 1; $c <= $matrix->{_cols}; $c++) {
push(@result, $matrix->get($r, $c));
}
}
return @result;
}
sub get_col() {
my $self = shift;
my $col = shift;
my $matrix = $self->matrix();
my $matrix_rows = $self->matrix_rows();
lib/AI/NeuralNet/Hopfield.pm view on Meta::CPAN
The training method configurates the network memory.
my @input_1 = qw(true true false false);
$hop->train(@input_1);
=cut
=head2 Evaluation
The evaluation method compares the new input with the information stored in the matrix memory.
The output is a new array with the boolean evaluation of each neuron.
my @input_2 = qw(true true true false);
my @result = $hop->evaluate(@input_2);
=cut
=head1 AUTHOR
Felipe da Veiga Leprevost, C<< <leprevost at cpan.org> >>
=head1 BUGS
Please report any bugs or feature requests to C<bug-ai-neuralnet-hopfield at rt.cpan.org>, or through
the web interface at L<http://rt.cpan.org/NoAuth/ReportBug.html?Queue=AI-NeuralNet-Hopfield>. I will be notified, and then you'll
automatically be notified of progress on your bug as I make changes.
=head1 SUPPORT
You can find documentation for this module with the perldoc command.
perldoc AI::NeuralNet::Hopfield
You can also look for information at:
lib/AI/NeuralNet/Hopfield.pm view on Meta::CPAN
If your Modified Version has been derived from a Modified Version made
by someone other than you, you are nevertheless required to ensure that
your Modified Version complies with the requirements of this license.
This license does not grant you the right to use any trademark, service
mark, tradename, or logo of the Copyright Holder.
This license includes the non-exclusive, worldwide, free-of-charge
patent license to make, have made, use, offer to sell, sell, import and
otherwise transfer the Package with respect to any patent claims
licensable by the Copyright Holder that are necessarily infringed by the
Package. If you institute patent litigation (including a cross-claim or
counterclaim) against any party alleging that the Package constitutes
direct or contributory patent infringement, then this Artistic License
to you shall terminate on the date that such litigation is filed.
Disclaimer of Warranty: THE PACKAGE IS PROVIDED BY THE COPYRIGHT HOLDER
AND CONTRIBUTORS "AS IS' AND WITHOUT ANY EXPRESS OR IMPLIED WARRANTIES.
THE IMPLIED WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR
PURPOSE, OR NON-INFRINGEMENT ARE DISCLAIMED TO THE EXTENT PERMITTED BY
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