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README  view on Meta::CPAN

        delta[i] = learning_rate * (expected_output - output) * input[i]

    Which is know as a negative feedback loop - it uses the current output
    as an input to determine what the next output will be.

    Also, note that this means you can get stuck in an infinite loop. It's
    not a bad idea to set the maximum number of iterations to prevent that.

CONSTRUCTOR
    new( [%args] )
        Creates a new perceptron with the following default properties:

            num_inputs    = 1
            learning_rate = 0.01
            threshold     = 0.0
            weights       = empty list

        Ideally you should use the accessors to set the properties, but for
        backwards compatability you can still use the following arguments:

            Inputs => $number_of_inputs  (positive int)

lib/AI/Perceptron.pm  view on Meta::CPAN

Also, note that this means you can get stuck in an infinite loop.  It's not a
bad idea to set the maximum number of iterations to prevent that.

=head1 CONSTRUCTOR

=over 4

=item new( [%args] )

Creates a new perceptron with the following default properties:

    num_inputs    = 1
    learning_rate = 0.01
    threshold     = 0.0
    weights       = empty list

Ideally you should use the accessors to set the properties, but for backwards
compatability you can still use the following arguments:

    Inputs => $number_of_inputs  (positive int)