effectiveness of input in neural net
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hi I read on http://www.mathworks.com/matlabcentral/answers/83053-regularization-in-neural-networks-help-needed that "To rank the effectiveness of each input just use randperm to scramble it's order and record the resulting increase in mse."
Can you please help to elaborate how that can be done?
Thanks.
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Greg Heath
on 24 Jan 2016
I don't know how to be any clearer than that. So, why don't you submit your code and I can comment
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Greg Heath
on 25 Jan 2016
Yes.
However, I find it useful to use zscore or mapstd to standardize the inputs to zero-mean/unit-variance.
Then in addition to
1. input(i,1:N) --> input( i, randperm(N))
You could also use
2. input(i,1:N) --> randn(1,N)
or
3. input(i,1:N) --> zeros(1,N)
I have also found that just using the MATLAB backward or forward ranking algorithms on a linear coefficient model tends to yield good results.
Hope this helps.
Greg
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