Neural Network with multiple Outputs

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Mohamed Amine Chaaleb
评论： Mohamed Amine Chaaleb 2017-8-28
Hi everybody :) !!
I'm creating a neural network with multiple inputs and multiple outputs. I had no problem with the input since I reshaped it into one vector and then I used the con2seq command to change it to a cell array with the number of column as samples. 1xN samples. Now the Problem is that my outputs are three matrices: Output1: 263x3 (it's a temperatur as a function of time) Output2: 263x3 (another temperature-function as a function of time) Output3: 263x3 (264 time steps)
the number of column is 3 because it's actually the number of sensors that I'm using in my experiment and the number of rows is 263 ... it's the time steps. How do I have to define my outputs since it is multidimensional?
Thank you !

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Greg Heath
Greg Heath 2017-8-28
For N I-dimensional "I"nputs yielding N O-dimensional "O"utputs
[ I N ] = size(input)
[ O N ] = size(target)
You have some rearranging to do.
Hope this helps.
Thank you for formally accepting my answer
Greg

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