How to define error weights in Neural Network?
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I want to minimize a mean squared weighted deviation in a neural network. The weights are different for each sample.
How can I specify this?
Is it perform(net,t,y,ew)?
ew = [a b c d ...] (weight for each sample)
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Accepted Answer
Greg Heath
on 16 Dec 2015
The documentation commands
help train
doc train
yield
[NET,TR] = train(NET,X,T,Xi,Ai,EW)
Hope this helps.
Greg
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More Answers (1)
Greg Heath
on 28 Nov 2015
Edited: Greg Heath
on 28 Nov 2015
Yes.
However, I would scale the data so that the maximum weight is unity.
Hope this helps.
Thank you for formally accepting my answer
Greg
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