Neuralnet
AI::NeuralNet::Simple is a simple learning module for building neural nets. SYNOPSIS use AI::NeuralNet::Simple; my $net = AI::NeuralNet::Simple->new(2,1,2); # teach it logical or for (1 .. 10000) { $net->train([1,1],[0,1]); $net->train([1,0],[0,1]); $net->train([0,1],[0,1]);...
Platforms: *nix
License: Freeware | Size: 17.41 KB | Download (108): AI::NeuralNet::Simple Download |
AI::NeuralNet::BackProp is a simple back-prop neural net that uses Deltas 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 amount of randomness to the network...
Platforms: *nix
License: Freeware | Size: 96.26 KB | Download (99): AI::NeuralNet::BackProp Download |
AI::NeuralNet::Kohonen is a Perl module with Kohonens Self-organising Maps. SYNOPSIS $_ = AI::NeuralNet::Kohonen->new( map_dim_x => 39, map_dim_y => 19, epochs => 100, table => "3 1 0 0 red 0 1 0 yellow 0 0 1 blue 0 1 1 cyan 1 1 0 yellow 1 .5 0 orange 1 .5 1 pink" ); $_->train;...
Platforms: *nix
License: Freeware | Size: 11.26 KB | Download (111): AI::NeuralNet::Kohonen Download |