how can i enter more than one input in NARX model?

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Roland
Roland el 24 de Dic. de 2013
Comentada: Matheus Torquato el 23 de Jul. de 2018
Hi!
I want to train a NARX model, which have 1 target time series data and 3 input time series data. I tried to use the nnstool, but there I could use only 1 input data. How could I train my network with more than 1 input?
thanks, Roley

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Fran Mat
Fran Mat el 5 de Feb. de 2014
Hi Roland:
You have to arrange your 3 input series data into 1.
Please check the example "pH Neutralization Process" that comes with the system.
Run these commands and check afterwards the variable "inputSeries". This one contains two series as input.
load pH_dataset
inputSeries = phInputs;
targetSeries = phTargets;
More info here:
Best regards. Fran.
  1 comentario
Matheus Torquato
Matheus Torquato el 23 de Jul. de 2018
What if I have a vector for each item from my input?
I have 200 cycles of data from 100 engines (with 24 parameters each).
{Engine1_Time001} {Engine2_Time001} {Engine200_Time001}
{Engine1_Time002} {Engine2_Time002} . . . {Engine200_Time002}
{Engine1_Time003} {Engine2_Time003} {Engine200_Time003}
. . .
. . .
. . .
{Engine1_Time200} {Engine2_Time200} {Engine200_Time100}
Where {EngineX_TimeY} is a 1x24 Cell containing 24 parameters of the Engine X at cycle Y.
The Neural Network Time Series App doesn't seem to be able to handle that structure since the options available are only Cell Column, Matrix Column and Matrix Row.
How can I train the NARX then?

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Roland
Roland el 5 de Feb. de 2014
Thanks for your help,I see now how in that example are the inputs organized. Unfortunatelly I'm not so familiar with the matlab. Could you give any advice, or a link to a description to see how can I my imported data with more variable(from excel) reform for an usable Matlab input? for example:
8,8758 1 --->[8,8758;1]
thx, Roland
  2 comentarios
Fran Mat
Fran Mat el 6 de Feb. de 2014
Hi Roland:
Actually this is what I am looking for as well. I have to put 5 variables into one. If I find something, will let you know.
Best regards.
Roland
Roland el 6 de Feb. de 2014
thanks!

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