I try to predict my data by use neural net model as output (Y) and variable input(X1,X2,X3,X4,X5) with 2 nodes. I'd like to find out the contributor (X) to prediction equation.
How do I analyse which input X have effect on Y? Thank you.
I think that's one downside of neural networks: it's hard to interpret the input effects because of all the weigthed interconnections. I suppose you try Analysis > Modeling > Screening on the predicted values from the neural net model to give you some idea.
In the Neural platform, you should be able to use the Prediction Profiler to explore which of your X's have large contributions to the variation in your output variable.