... to increase safety. It applies three machine learning techniques, including long short-term memory (LSTM), gated recurrent unit (GRU), and Bayesian neural network (BNN) combined with bagging and Monte Carlo dropout (MCD), namely, LSTM-bagging, GRU-bagging, and BNN-MCD to predict the possible movement range...

... in the data-driven surrogate to improve the training efficiency with limited data. Nevertheless, the model-form and parameter uncertainty associated with the neural networks can still lead to unreliable predictions. In this article, a new physics-constrained Bayesian neural network (PCBNN) framework...