“Neural Network Prediction Intervals Generation Using Novel Loss Function”

https://pubmed.ncbi.nlm.nih.gov/38113152

This study presents a method for generating high-quality prediction intervals (PIs) in neural networks by training two companion networks and introducing a novel loss function that balances minimizing PI width and ensuring PI integrity, resulting in higher quality PIs without compromising target estimation accuracy.