I have this huge dimensional data with 31200 features and only 6000 examples. I want to learn a neural network that can find the non linear relation between the input and outputs. However, I have huge number of features. So wouldn't it cause problems in neural network?
Another thing you can do is Feature Selection in the preprocessing step. You can look into this paper by Nguyen.
Hope this somewhat helps. Have fun Learning :)