Neural network for multiple input and multi output (MIMO) systems

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Shan
Shan 2013-1-24
I want to build a neural network for a multi input and multi output (MIMO) system described as:
y1(t)= f1( x1(t), x2(t),...xn(t))
y2(t)= f2( x1(t), x2(t),...xn(t))
.....
.....
ym(t)= fm( x1(t), x2(t),...xn(t))
For single input single output system, mostly for function approximation of the form `y= f(t)`, where the neural network is trained for input t (independent variable) and output y, there are many examples. However, how do I construct or solve the MIMO problem ? How to I transform or represent the input or outputs to solve the problem with the matlab neural network toolbox?

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Greg Heath
Greg Heath 2013-1-25
The typical NN is a MIMO function and the typical NNTBX design uses I-dimensional inputs
[ I N ] = size(input)
and O-dimensional output targets
[ O N ] = size(target)
Interpret all variables as rows of input and output matrices
Hope this helps.
Thank you for formally accepting my answer.
Greg

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Shashank Prasanna
Shashank Prasanna 2013-1-24
create different networks for each fi. fi: x1..xn -> yi
Also can you provide a little context to the questions? What is this for and where will you be using it?

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