[erlang-questions] Question about some Erlang code in Handbook of Neuroevolution Through Erlang.

[Yves S. Garret]

Hello all,

I recently got this book, listed here:
http://www.amazon.com/Handbook-Neuroevolution-Through-Erlang-Gene/dp/1461444624

The topic intrigues me, because it makes so much sense to try to design
artificial
neural networks with Erlang (a point that the author makes very well in the
book).

I got to chapter 6 and this is the code that I have for constructor.erl.
Now, I'm going
through the create_NeuroLayers/4 and... I don't see the connection between
what's
written and artificial neural networks...

The code:
http://bin.cakephp.org/view/1946842426

I don't want to bash the author, but I'm really not "getting" what he's
describing.  For example, this description:

The function create_NeuroLayers/3 prepares the initial step before starting
the recursive cre-
ate_NeuroLayers/7 function which will create all the Neuron records. We
first generate the
place holder Input Ids “Plus”(Input_IdPs), which are tuples composed of Ids
and the vector
lengths of the incoming signals associated with them. The proper input_idps
will have a weight [me: but we haven't assigned the weight, have we?]
list in the tuple instead of the vector length. Because we are only
building NNs each with only a
single Sensor and Actuator, the IdP to the first layer is composed of the
single Sensor Id with
the vector length of its sensory signal, likewise in the case of the
Actuator. We then generate
unique ids for the neurons in the first layer, and drop into the recursive
create_NeuroLayers/7
function.

Thanks in advance.
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