Hello everyone, I am trying to replicate a previously trained NARX net from the net weights.

The net was buit with the following parameters:

`inputDelays = 0:12;feedbackDelays = 1:12;hiddenLayerSize = 2;`

Where the inputs are three elements and the output is one.

When I get the weights from the net, it returns the following:

`>>net.IWans= 2×2 cell array {2×39 double} {2×12 double} {0×0 double} {0×0 double}>>net.LWans = 2×2 cell array {0×0 double} {0×0 double} {1×2 double} {0×0 double}>>net.bans= 2×1 cell array {2×1 double} {1×1 double}`

I understand that the element net.IW{1,1} corresponds to the weights of the input vector for each neuron, but since I have three input variables, the input is a matrix of size 3×13 and not a vector of size 1×39.

I tried transforming the input matrix into a 1×39 vector, following the order: [X1(t),X2(t),X3(t),X1(t-1),X2(t-1,X3(t-1),…,X1(t-12),X2(t-12),X3(t-12)], but I do not get the same result as using the network. Is this the correct order? If not, how should it be?

Thanks

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