I want to construct a Neural network regression model for data (8 inputs and 1 output). My problem is that my output has exponential distribution. When I normalized it in 'log scale' or 'min-max scale' error is decreasing but the error in my original-output is rising by 10 times. How to fit this data. Are there any other transformations I can try on my data or any other algorithms or models which will help me.