I have a Narx network with 6 external inputs. These have a 1:2 delay on them. I also have a feedback loop for multi-step ahead prediction with a 1:24 delay on them. Does this mean I have 12 external inputs (x1(t),x1(t-1)...x6(t-1)) and 24 'feedback' neurons (y(t-1),y(t-2)...y(t-24)) totaling 36 input neurons?
delay=24;
inputDelays = 1:2;
feedbackDelays = 1:delay;
net = narxnet(inputDelays,feedbackDelays,hiddenLayerSize);
Thanks

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Greg Heath
Greg Heath 2016 年 3 月 23 日

0 投票

Yes.
However, input nodes are not neurons.
Hidden and output nodes are neurons often associated with a nonlinear transfer function like tansig (i.e., tanh) or logsig.
Hope this helps.
Greg

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2012 年 2 月 1 日

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2016 年 3 月 23 日

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