Gray-Box Dynamic Model for Wave Glider Driven by a Hybrid of Deep Learning and Physics-Based Models Dataset
收藏IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/gray-box-dynamic-model-wave-glider-driven-hybrid-deep-learning-and-physics-based-models
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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.
提供机构:
Zhang, Yongkuang



