Multiple input NARX?

I've been thinking about purchasing neural network toolbox, because I think NARX could be the right approach to my forecasting problem. However, it seems that using multiple inputs has been a big issue, since googling "NARX" gives numerous topics where solutions have been requested but never answered. However, most of these topics seem to be several years old.

My question is this: is it possible to include multiple (say, three) exogenous inputs to train NARX? I found out that MATLAB has a function called tonndata. Is this a new function designed to do that? Could I take my three inputs of form

x1(t1) x2(t1) x3(t1)
x1(t2) x2(t2) x3(t2)
x1(t3) x2(t3) x3(t3)

where t:s are there to indicate time points and x1, x2 and x3 are some sort of variables (say, current, temperature and velocity), feed this matrix into tonndata and then be able to feed the outcome to NARX? Or is there some other way of providing multiple input variables?

[nirnroot]

It's been a couple of years since I've done anything with neural networks, but I think I shifted away from using NARX altogether. So, unfortunately, this is still a mystery to me. There's an answer below from Greg, if you'd like to try that. Good luck!

Answer 1

[Greg Heath]

Vector inputs and targets are relatively easy to use because the MATLAB equations are in matrix form.

If you search for nonscalar example datasets use

 help nndatasets
and
 doc nndatasets

I have enumerated the dimensions of the inputs and targets in three NEWSGROUP posts:

 http://www.mathworks.com/matlabcentral/newsreader/view_thread/...

 337914
 338208
 339984

Thank you for formally accepting my answer

Greg

[Prajwal Thakur]

link is broken. anyone know how to do it?