Online Data-Driven Integrated Prediction Model for Ship Motion Based on Data Augmentation and Filtering Decomposition and Time-Varying Neural Network

Online Data-Driven Integrated Prediction Model for Ship Motion Based on Data Augmentation and Filtering Decomposition and Time-Varying Neural Network

Online prediction for ship motion with strong nonlinear characteristics under harsh sea states will significantly reduce the damage of large accidents. Therefore, an integrated ship motion online prediction model consisting of a data augmentation algorithm based on the Improved Temporal Convolutiona...

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Bibliographic Details
Main Authors: Nan Gao, Zhenju Chuang, Ankang Hu
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Journal of Marine Science and Engineering
Subjects:
data augmentation algorithm
Improved Temporal Convolutional Network
Improved Empirical Mode Decomposition
Global Time Pattern Attention
time-varying neural network
ship motion
Online Access:https://www.mdpi.com/2077-1312/12/12/2287
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