Data Party THU

Nov 10, 2025 · Artificial Intelligence

Which Neural Network Method Best Estimates Uncertainty in Regression? A Comparative Study

This article examines why regression models need uncertainty estimates, explains aleatoric and epistemic uncertainty, compares four neural‑network approaches (Mean + LogStd, Mean + LogVariance, MC Dropout, simplified PPO) on a concrete‑strength dataset, and analyzes their experimental performance and limitations.