... normalizing flows and multi-task learning to improve prediction accuracy. With this approach, we present the model's uncertainty that can be reliable information for decision making. Furthermore, we demonstrate our model outperforms other supervised machine learning algorithms regards to prediction accuracy...

... and future work are discussed in the paper. prediction training data prediction accuracy prediction error neural network test data line tension simulation data machine learning dataset artificial intelligence lng static simulation data liquified natural gas validation simulation mooring...