K. Maki

The influence of seaway parameters on the generalizability of a force-correcting machine learning method

A force-correcting machine learning method is utilized as a data-leveraging tool alongside a boundary element code to predict the heave and pitch responses of a fast displacement ship (FDS) in a range of long-crested seaways for a region in the North Atlantic. The method is trained using high-fidelity response data fro...