1. Use MAPSTD or ZSCORE to standardize the data BEFORE training.
2. Design 10 or more successful nets with the smallest number of hidden nodes as possible.
3. For each input: Add Gaussian noise to only that input. Tabulate and plot MSE vs noise standard deviation
There are also many, many, approaches for ranking inputs via backward and forward searches. In backward search, replacing an input with zeros (it's mean value) is equivalent to removing it.
Hope this helps.
Thank you for formally accepting my answer
Greg
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