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weird plotregression plots for a 10% of my fitnet neural networks

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Dear comunity,
i trained a fitnet with a inputmatrix (7x2118 double) and a targetvector (1x2118 double) like this:
hiddenLayerSize = [105 15];
trainFcn = 'trainlm';
net = fitnet(hiddenLayerSize,trainFcn);
for netI=1:100
[TrainedNet(netI).net,trainRecords(netI).tr] = train(net,inputmatrix,targetvector);
end
for 9 of my 100 ANNs i got a really strange result in the training.
Have you ever seen this kind of strips within a network output? Why dos it happen? What could be an explanation?
Kind regards, MLP

Answers (1)

Greg Heath
Greg Heath on 18 Jan 2020
Sometimes training gets into a parameter space rut. That is why it is wise to train multiple models.
Hope this helps.
Greg
THANK YOU FOR FORMALLY ACCEPTING MY ANSWER
Greg

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