A Hybrid Model of Conformer and LSTM for Ocean Wave Height Prediction
Jiawei Xiao,
Peng Lu
Abstract:This study proposes a hybrid model (Conformer-LSTM) based on Conformer and Long Short-Term Memory networks (LSTM) to overcome the limitations of existing techniques and enhance the accuracy and generalizability of wave height predictions. The model combines the advantages of self-attention mechanisms and convolutional neural networks. It captures global dependencies through multi-head self-attention and utilizes convolutional layers to extract local features, thereby enhancing the model’s adaptability to dynam… Show more
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