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

[Robert Virding]

I am working my way through the book, but I haven't got that far yet. Will let you know when I do. 

Robert 

----- Original Message -----

> From: "Yves S. Garret" <yoursurrogategod@REDACTED>
> To: erlang-questions@REDACTED
> Sent: Wednesday, 3 July, 2013 8:53:32 PM
> Subject: [erlang-questions] Question about some Erlang code in
> Handbook of Neuroevolution Through Erlang.

> 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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