A Sequence-to-Sequence Model Based on Attention Mechanism for Wave Spectrum Prediction

Abstract

Ocean wave spectrum are mainly estimated from wave surface records, and traditional methods involve physically-based modeling of wave dynamics and frequency analysis. In this paper, we employ machine learning strategy and propose a Seq2Seq (sequence to sequence) model which connects the encoder and decoder with an attention mechanism. This model can both effectively predict wave spectrum and be easily implemented. Experiments on numerical simulations show the feasibility of the proposed model in wave spectrum estimation and the accuracy comparing with traditional methods.