no code implementations • 6 Apr 2023 • Zhao Zan, Leilei Huang, Shushi Chen, Xiantao Zhang, Zhenghui Zhao, Haibing Yin, Yibo Fan
Experimental results demonstrate that our solution outperforms the state-of-the-art works with a complexity reduction of 44. 74% to 68. 76% and a BD-BR increase of 0. 60% to 2. 33%.
1 code implementation • 9 Oct 2021 • Xiaoxian Guo, Xiantao Zhang, Xinliang Tian, Wenyue Lu, Xin Li
In this study, we extend a deep learning (DL) model, which could predict the heave and surge motions of a floating semi-submersible 20 to 50 seconds ahead with good accuracy, to quantify its uncertainty of the predictive time series with the help of the dropout technique.
no code implementations • 31 Jul 2020 • Xiaoxian Guo, Xiantao Zhang, Xinliang Tian, Xin Li, Wenyue Lu
With the help of measured waves, the prediction extended 46. 5 s into future with an average accuracy close to 90%.