Predicting ocean pressure field with a physics-informed neural network
Seunghyun Yoon,
Yongsung Park,
Peter Gerstoft
et al.
Abstract:Ocean sound pressure field prediction, based on partially measured pressure magnitudes at different range-depths, is presented. Our proposed machine learning strategy employs a trained neural network with range-depth as input and outputs complex acoustic pressure at the location. We utilize a physics-informed neural network (PINN), fitting sampled data while considering the additional information provided by the partial differential equation (PDE) governing the ocean sound pressure field. In vast ocean environ… Show more
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