Investigation into the Prediction of Ship Heave Motion in Complex Sea Conditions Utilizing Hybrid Neural Networks
While navigating at sea, ships are influenced by various factors, including wind, waves, and currents, which can result in heave motion that significantly impacts operations and potentially leads to accidents. Accurate forecasting of ship heaving is essential to guarantee the safety of maritime navi...
Saved in:
Main Authors: | Yuchen Liu, Xide Cheng, Kunyu Han, Zhechun Liu, Baiwei Feng |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-12-01
|
Series: | Journal of Marine Science and Engineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2077-1312/13/1/1 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Wave loadings on a vertical cylinder due to heave motion
by: D. D. Bhatta, et al.
Published: (1995-01-01) -
Monthly Precipitation Prediction Based on Attention-BiLSTM Model
by: CHENG Yuxiang, et al.
Published: (2024-06-01) -
Sign Language Recognition Based on CNN-BiLSTM Using RF Signals
by: Yajun Zhang, et al.
Published: (2024-01-01) -
Neural network and Markov based combination prediction algorithm of video popularity
by: Xuesen MA, et al.
Published: (2021-08-01) -
Numerical modelling of rope elasticity for heave compensation lifting in offshore crane operations
by: Bassey Asanga, et al.
Published: (2024-06-01)