How does the input to a neural network change for a given input delay?
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ss32
el 11 de Jul. de 2017
Comentada: Greg Heath
el 11 de Jul. de 2017
I have an input array [a,b] from a time series and specify the input delay T. This is being sent to a NARXnet for training. How does my original array change for that delay? And is there any way to see the inputs to the network either before or after training? I would like to see how my original inputs were modified for training the network.
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Greg Heath
el 11 de Jul. de 2017
It is not exactly clear what you mean.
When you have an input 1:N with a timedelay net that has a delay d, the first d inputs do not result in an output. Instead, they are routed to a delay buffer. Once the buffer has stored d inputs, it starts yielding an output.
Then, for every new input data point, an output data point is created from the current d input points that were in the delay buffer..
As a result, Your output will have values over times d+1:N
Hope this helps.
Greg
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