One thought is to train the net and obtain a performance measure on a
testing corpus. Next, for each input, run the testing corpus again,
but zero all values for that input and obtain a measure of
performance. Zeroing an important node will hurt performance more than
zeroing an unimportant node.
On Tue, Mar 10, 2009 at 9:41 AM, abbas tavassoli tavassoli...@yahoo.com wrote:
Hi, I have a binary variable and many explanatory variables and I want to
use the package nnet to model these data, (instead of logistic regression).
I want to find the more effective variables (inputs to the network) in
the neural network model. how can I do this?
thanks.
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