MATLAB: Specify input for NARX

MATLABneural network

   I am following the example about NARX (autogressive nerual network with external inputs)

http://www.mathworks.com/help/nnet/ug/design-time-series-narx-feedback-neural-networks.html

What I want in my study case is that the external input need to be specified as a matrix. The manual already showed a case to address multiple external variables(which is a vector). The question is how I can let the input be a matrix?

Thanks a lot!!

Best Answer

Inputs are assumed to be matrices containing N I-dimensional vectors corresponding to N O-dimensional target/output vectors.

 [ I N ] = size(input)
 [O N ] = size(target)

If you have an rxc dimensional matrix, A, that is supposed to be a single input

 input = A(:)
 I = r x c
 N = 1

Hope this helps.

Thank you for formally accepting my answer

Greg

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MATLAB: Training multi dimensional features using newff or newpr

If the N input vectors are I-dimensional and the N output vectors are O-dimensional the training matrices have sizes

 [ I N ] = size(input)

[ O N ] = size(target)

To design a single hidden layer MLPNN with I-H-O node topology

net = newff(input,target,H);

Hope this helps.

Greg

MATLAB: How do i collect data for neural networks

N examples of an I-dimensional input and the corresponding O-dimensional target output:

 [ I N ] = size(input)
 [ O N ] = size(target)

Hope this helps.

Thank you for formally accepting my answer

Greg

Best Answer

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MATLAB: Training multi dimensional features using newff or newpr

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