Innovative load identification with Res-UNet: Integrating phase space reconstruction and physics-informed deep learning
Release Time:2024-09-29 Hits:
Date of Publication: 2024-09-29
Journal: Ocean Engineering
Volume: 312
ISSN: 0029-8018
Key Words: artificial neural network; Chaotic systems; Deep learning; engineering; Identification modeling; Learning network; Load identification; machine learning; Ocean structures; Performance; Phase space reconstruction; Phase spaces; Physic-driven methodology; Pressure vessels; reconstruction; Reconstruction (structural); Space physics; Space reconstruction; Stress analysis