MATLAB: How to determine input and target data for classification in neural network

classificationDeep Learning ToolboxMATLABneural networks

Hi all,
I want to classify using neural network toolbox. I have input matrices data (7 input x 125 samples) and target data (5 output x 125 samples). I have scaled my input data that have 125 samples into 5 class. Row 1:25 as class A, row 26:50 as class B, row 51:75 as class C, row 76:100 as class D, and row 101:125 as class E. I want to use 'trainlm' training. I am confuse to write input and output in Matlab.
Thanks in advance for any and all help

Best Answer

%size(input) = [ 7 125 ]
%size(target) = [ 5 125 ]
 target = zeros(5,125);
 target(1,1:25) = ones(1,25);
...
target(5, 101:125) = ones(1,25);
Use patternet.
Hope this helps
Thank you for formally accepting my answer
Greg
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