PREDICTION OF EFFECTIVE OCEAN WAVE HEIGHT BASED ON FFT-MaxVIT

Wang Dazhi; Zhao Yongqing; Suo Liujia; Zhu Li; Wu Feng

doi:10.19912/j.0254-0096.tynxb.2025-0311

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Acta Energiae Solaris Sinica ›› 2026, Vol. 47 ›› Issue (8) : 26-31. DOI: 10.19912/j.0254-0096.tynxb.2025-0311

PREDICTION OF EFFECTIVE OCEAN WAVE HEIGHT BASED ON FFT-MaxVIT

Wang Dazhi^1~3, Zhao Yongqing¹, Suo Liujia¹, Zhu Li⁴, Wu Feng⁴

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Abstract

The significant randomness of the effective wave height of ocean waves makes it difficult to meet the actual demand for high-precision prediction. A novel method for predicting effective wave height based on a fusion model combining the fast Fourier transform （FFT） with a multi-head axial attention mechanism （FFT-MaxVIT） is proposed in this paper. Firstly, the fast Fourier transform （FFT） is employed to accentuate the dominant frequency components of the waves while suppressing noise interference. secondly, specifically addressing scenarios involving small data samples, the model utilizes convolutional layers to extract local features; concurrently, it leverages both block attention and grid attention mechanisms to efficiently extract global features while effectively reducing computational complexity. Finally, pruning techniques and Bayesian optimization algorithms are applied to fine-tune the model parameters, thereby efficiently identifying the optimal combination of hyperparameters. The experimental evaluation involved two stages： first, a comparative analysis was conducted to assess the impact of applying the FFT; second, the predictive performance of the proposed model was benchmarked against that of several established models, including the long short-term memory network （LSTM）, the residual network（ResNet）, and the Vision Transformer （ViT）. The experimental results demonstrate that the proposed model effectively enhances the prediction accuracy of effective wave height.

Key words

significant wave height / FFT / Bayesian optimization / waves / deep learning / prediction

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Wang Dazhi, Zhao Yongqing, Suo Liujia, Zhu Li, Wu Feng. PREDICTION OF EFFECTIVE OCEAN WAVE HEIGHT BASED ON FFT-MaxVIT[J]. Acta Energiae Solaris Sinica. 2026, 47(8): 26-31 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0311

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