Zengchao Wu

Comparison of Performances of Machine Learning and Deep Learning Models for Prediction of Creep Rupture Life

Results indicate that support vector regression (SVR) provides the most consistent overall performance across all regimes and offers a strong balance between accuracy and computational efficiency, and a Bayesian neural network (BNN) achieves competitive predictive performance while additionally enabling uncertainty estimation.