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List: r-help
Subject: Re: [R] help ANN
From: S Ellison <S.Ellison () lgcgroup ! com>
Date: 2013-11-29 13:49:34
Message-ID: A4E5A0B016B8CB41A485FC629B633CED56C98AEE7A () GOLD ! corp ! lgc-group ! com
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> I would like to create an artificial neural network with R but I don't know its
> parameters jet (number of layers, number of neurons,...).
> I downloaded the package ANN and I use the function "ANNGA", but I'm
> afraid I haven't really created a neural network. In fact, at the end of the
> process I have just this output:
>
> Call:
> ANNGA.default(x = input, y = output, design = c(1, 3, 1), population = 100,
> mutation = 0.2, crossover = 0.6, maxW = 10, minW = -10, maxGen = 1000,
> error = 0.001)
>
> **********************************************************
> ******************
> Mean Squared Error------------------------------> 0.01148523
> R2----------------------------------------------> 0.6918387
> Number of generation----------------------------> 1001 Weight range at
> initialization------------------> [ 10 , -10 ] Weight range resulted from the
> optimisation-----> [ 13.58698 , -12.93606 ]
> **********************************************************
> ******************
>
> Well, I would like to know if there is in ANN a function to *create* a neural
> network and if not, which package I have to download, Nnet?
What you have done is create an ANN object, print it's summary information and then \
discard it.
if you want to keep it and use it for something, assign it to a variable; for \
example:
my.ANN <- ANNGA.default(x = input, y = output, design = c(1, 3, 1), population = 100,
mutation = 0.2, crossover = 0.6, maxW = 10, minW = -10, maxGen = 1000,
error = 0.001)
You can then inspect, print, or predict with the object my.ANN. For example, you can \
say simply predict(my.ANN)
to see the output values predicted for the inputs you supplied.
This goes for a lot of R fitting functions; they return objects which are printed and \
discarded unless you assign them to something.
S Ellison
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