A CNN-LSTM Ship Motion Extreme Value Prediction Model

A CNN-LSTM Ship Motion Extreme Value Prediction Model

Aimed at the short-term extreme value prediction of ship motion, a sliding window method based on motion spectrum information is proposed to extract feature data, based on which, a series prediction model of convolutional neural networks (CNN) and long short-term memory (LSTM) is built. The CNN modu...

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Bibliographic Details
Main Author: ZHAN Ke, ZHU Renchuan
Format: Article
Language:zho
Published: Editorial Office of Journal of Shanghai Jiao Tong University 2023-08-01
Series:Shanghai Jiaotong Daxue xuebao
Subjects:
local extremum
short-term prediction
convolutional neural network (cnn)
long short-term memory (lstm) networks
Online Access:https://xuebao.sjtu.edu.cn/article/2023/1006-2467/1006-2467-57-8-963.shtml

Internet

https://xuebao.sjtu.edu.cn/article/2023/1006-2467/1006-2467-57-8-963.shtml

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