MATLAB: How to determine the neuron in LVQ

Deep Learning Toolboxlvq

Dear all
I have one question, now i'm using LVQ to classify fruits but i confuse to determine the neuron that I must use. I have matrix, rows = 15 and the column = 60, the class = 3. How many neuron I must use.
Thank you

Best Answer

[ I N ] = size(input) % [15 60]
[ O N ] = size(target) % [ 3 60 ]
For lvqnet net.divideFcn = ''. Therefore,
 Ntrn = N               %60 Training examples
 Ntrneq = N*O           %180 Training equations
For a single hidden layer with H units
 Nw = (I+O)*H            % No. of unknown weights to estimate
For a robust design desire Ntrneq >> Nw. or H << Hub where
 Hub  -1 + ceil( Ntrneq/(I+O))  % 9
Since H << Hub is not possible, try reducing I and/or increasing N (e.g., adding noisy copies of the originals and making H as small as possible.
You may also wish to investigate 10-fold cross-validation and/or another type of classifier (e.g., patternnet or newrb).
Hope this helps.
Thank you for formally accepting my answer
Greg
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