Real-Time Prediction of Large-Scale Ship Model Vertical Acceleration Based on Recurrent Neural Network

Real-Time Prediction of Large-Scale Ship Model Vertical Acceleration Based on Recurrent Neural Network

In marine environments, ships are bound to be disturbed by several external factors, which can cause stochastic fluctuations and strong nonlinearity in the ship motion. Predicting ship motion is pivotal to ensuring ship safety and providing early warning of risks. This report proposes a real-time sh...

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Bibliographic Details
Main Authors: Yumin Su, Jianfeng Lin, Dagang Zhao, Chunyu Guo, Chao Wang, Hang Guo
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Journal of Marine Science and Engineering
Subjects:
artificial intelligence
recursive neural network
time series prediction
large-scale ship model
vertical acceleration
Online Access:https://www.mdpi.com/2077-1312/8/10/777

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