Hello,   I would add the following:   Include a weight decay value (L2) and tune the value on your validation data. You mentioned ASE... if your target is interval, consider changing the error function and output activation function to match your target's understood distribution.   I can typically achieve performance improvements in my neural networks when I divide and concur the input space.  You can do this in several ways.  One that is easiest for me is to build several networks, giving each network a different subset of inputs and average the predictions of the networks. I hope this helps.   Best,   Robert ... View more

Hi M23,   I'm glad you found some useful info! If Wendy's reply was the exact solution to your problem, can you "Accept it as a solution"? Or if it was particularly helpful, feel free to "Like" it. This will help other community members who may run into the same issue know what worked. Thanks! Anna ... View more