Gray-Box Dynamic Model for Wave Glider Driven by a Hybrid of Deep Learning and Physics-Based Models Dataset

The data presented is Gray-Box Dynamic Model for Wave Glider Driven by a Hybrid of Deep Learning and Physics-Based Models. In this study, the data set utilized for training the surrogate model consists of a total of 5 columns. These columns are FX, FZ, t, velx, and velz. Specifically, FX and FZ represent the hydrodynamic forces acting on the X - axis and Z - axis of the glider respectively. The variable t stands for time, while velx and velz denote the speeds of the glider on the z - axis and x - axis. This comprehensive data set is crucial for accurately training the model and understanding the behavior of the wave glider.