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How can I get the function y(t) from NARX problem in Neural Network Time Series Tool?

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Fabio Retorta 2016-4-21

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回答： Greg Heath 2016-4-25

采纳的回答： Greg Heath

How can I get the function y(t) from NARX problem in Neural Network Time Series Tool?

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Greg Heath 2016-4-25

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Since your model is not nonlinear, just use NARXNET with no hidden nodes.

 X   = con2seq(giveninput);
 T   = con2seq(giventarget);
 net = narx(1:2,1:2,[]);

The rest follows from the documentation examples

 help narxnet
 doc narxet

Hope this helps

Thank you for formally accepting my answer

Greg

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Greg Heath 2016-4-21

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See one of my Narx posts in the NEWSGROUP or ANSWERS:

greg narnet

Hope this helps.

Thank you for formally accepting my answer

Greg

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Greg Heath 2016-4-24

Not exactly sure what you mean by "the" coefficients. The net is a nonlinear transformation. The coefficients corresponding to the inputs of the hidden node neurons are given by the input weight matrix IW = net.IW.

Hope this helps.

Thank you for formally accepting my answer

Greg

Fabio Retorta 2016-4-24

编辑：Fabio Retorta 2016-4-24

In this function y(t) = a1.y(t-1)+a2.y(t-2)...+b1.u(t-1)+b2.u(t-2)

the coeficients ate a1, a2, b1 and b2. If I know this terms I can make a prediction.

Using the toolbox I don't have this fucntion. I want to know if I can get these coeficients

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