Optimized Bi-LSTM Model for Short-Term Predicting of Ship State with Definitions of Surf-Riding and Broaching

Optimized Bi-LSTM Model for Short-Term Predicting of Ship State with Definitions of Surf-Riding and Broaching

This paper introduces a hybrid prediction method that combines the Bi-LSTM neural network with definitions of surf-riding, wave-blocking and broaching to enhance the safety and stability of ship navigation. The hybrid method can accurately predict ships’ attitude motions and states by recognizing sh...

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Bibliographic Details
Main Authors: Yunlong Du, Meng Cui, Jinya Xu, Zhichao Hong, Jiaye Gong
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Journal of Marine Science and Engineering
Subjects:
ship attitude motion
surf-riding
broaching
Bi-LSTM
ship state
Online Access:https://www.mdpi.com/2077-1312/13/2/185
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