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AI::ANN is an artificial neural network simulator. It differs from existing 
solutions in that it fully exposes the internal variables and allows - and 
forces - the user to fully customize the topology and specifics of the 
produced neural network. If you want a simple solution, you do not want this 
module. This module was specifically written to be used for a simulation of 
evolution in neural networks, not training. The traditional 'backprop' and 
similar training methods are not (currently) implemented. Rather, we make it 
easy for a user to specify the precise layout of their network (including both 
topology and weights, as well as many parameters), and to then retrieve those 
details. The purpose of this is to allow an additional module to then tweak 
these values by a means that models evolution by natural selection. The 
canonical way to do this is the included AI::ANN::Evolver, which allows 
the addition of random mutations to individual networks, and the crossing of 
two networks. You will also, depending on your application, need a fitness 
function of some sort, in order to determine which networks to allow to 
propagate. Here is an example of that system.

use AI::ANN;
my $network = new AI::ANN ( input_count => $inputcount, data => \@neuron_definition );
my $outputs = $network->execute( \@inputs ); # Basic network use
use AI::ANN::Evolver;