[R] find the important inputs to the neural network model in nnet package

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.

Re: [R] find the important inputs to the neural network model in nnet package

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.