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...

Full description

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

Similar Items

Fast Prediction of Urban Flooding Water Depth Based on CNN−LSTM
by: Jian Chen, et al.
Published: (2023-04-01)

Application of Improved LSTM Neural Network in Time-Series Prediction of Extreme Short-Term Wave
by: SHANG Fancheng, LI Chuanqing, ZHAN Ke, ZHU Renchuan
Published: (2023-06-01)

Prediction of Water Level and Water Quality Using a CNN-LSTM Combined Deep Learning Approach
by: Sang-Soo Baek, et al.
Published: (2020-12-01)

Prediction of Bearing Remaining Service Life Based on CNN-LSTM
by: Cai Weiwei, et al.
Published: (2022-01-01)

CNN and LSTM-Based Emotion Charting Using Physiological Signals
by: Muhammad Najam Dar, et al.
Published: (2020-08-01)

Arrhythmia Classification Based on CNN and Bidirectional LSTM
by: LI Xingxiu, TANG Jianjun, HUA Jing
Published: (2021-12-01)

Contact Pattern Recognition of a Flexible Tactile Sensor Based on the CNN-LSTM Fusion Algorithm
by: Yang Song, et al.
Published: (2022-06-01)

Improved LSTM Method of Predicting Cryptocurrency Price Using Short-Term Data
by: Risna Sari, et al.
Published: (2023-02-01)

Classifying Parasitized and Uninfected Malaria Red Blood Cells Using Convolutional-Recurrent Neural Networks
by: Adan Antonio Alonso-Ramirez, et al.
Published: (2022-01-01)

Ultra-Short-Term Platform Motion Prediction Method of Large Floating Wind Turbines Based on LSTM Network
by: WEI Hui, CHEN Peng, ZHANG Ruihan, CHENG Zhengshun
Published: (2023-10-01)

Automatic Detection of Atrial Fibrillation Based on CNN-LSTM and Shortcut Connection
by: Yongjie Ping, et al.
Published: (2020-05-01)

A Method Based on GA-CNN-LSTM for Daily Tourist Flow Prediction at Scenic Spots
by: Wenxing Lu, et al.
Published: (2020-02-01)

Application of Spectrum State Prediction Method Based on CNN-LSTM Network in Communication Interference
by: Zhoutai Tian, et al.
Published: (2023-01-01)

Hybrid LSTM Neural Network for Short-Term Traffic Flow Prediction
by: Yuelei Xiao, et al.
Published: (2019-03-01)

Research on an Ultra-Short-Term Working Condition Prediction Method Based on a CNN-LSTM Network
by: Mengqing Tian, et al.
Published: (2023-03-01)

Faster R-CNN-LSTM Construction Site Unsafe Behavior Recognition Model
by: Xu Li, et al.
Published: (2023-09-01)

Short-Term Prediction in Vessel Heave Motion Based on Improved LSTM Model
by: Gang Tang, et al.
Published: (2021-01-01)

Prediction of Battery SOH by CNN-BiLSTM Network Fused with Attention Mechanism
by: Shuo Sun, et al.
Published: (2022-06-01)

Multidimensional CNN-LSTM Network for Automatic Modulation Classification
by: Na Wang, et al.
Published: (2021-07-01)

Forecasting the Demand for Container Throughput Using a Mixed-Precision Neural Architecture Based on CNN–LSTM
by: Cheng-Hong Yang, et al.
Published: (2020-10-01)

CNN-LSTM Prediction Method for Blood Pressure Based on Pulse Wave
by: Hanlin Mou, et al.
Published: (2021-07-01)

A Comparison of Power Quality Disturbance Detection and Classification Methods Using CNN, LSTM and CNN-LSTM
by: Carlos Iturrino Garcia, et al.
Published: (2020-09-01)

Multilevel Deep Learning Network for County-Level Corn Yield Estimation in the U.S. Corn Belt
by: Jie Sun, et al.
Published: (2020-01-01)

An Automatic Diagnosis of Arrhythmias Using a Combination of CNN and LSTM Technology
by: Zhenyu Zheng, et al.
Published: (2020-01-01)

A method for predicting the remaining life of equipment based on WTTE-CNN-LSTM
by: Erbao XU, et al.
Published: (2022-01-01)

Relation extraction based on CNN and Bi-LSTM
by: Xiaobin ZHANG,Fucai CHEN,Ruiyang HUANG
Published: (2018-09-01)

A Short-Term Load Forecasting Method Using Integrated CNN and LSTM Network
by: Shafiul Hasan Rafi, et al.
Published: (2021-01-01)

A CNN-LSTM Model for Soil Organic Carbon Content Prediction with Long Time Series of MODIS-Based Phenological Variables
by: Lei Zhang, et al.
Published: (2022-09-01)

A Multi-Channel Feature Fusion CNN-Bi-LSTM Epilepsy EEG Classification and Prediction Model Based on Attention Mechanism
by: Yahong Ma, et al.
Published: (2023-01-01)

StressNet: Hybrid model of LSTM and CNN for stress detection from electroencephalogram signal (EEG)
by: Swaymprabha Alias Megha Mane, et al.
Published: (2023-06-01)

Convolutional neural network and long short-term memory algorithms for groundwater potential mapping in Anseong, South Korea
by: Wahyu Luqmanul Hakim, et al.
Published: (2022-02-01)

Optimizing the Parameters of Long Short-Term Memory Networks Using the Bees Algorithm
by: Nawaf Mohammad H. Alamri, et al.
Published: (2023-02-01)

A Model for EEG-Based Emotion Recognition: CNN-Bi-LSTM with Attention Mechanism
by: Zhentao Huang, et al.
Published: (2023-07-01)

EEG-fNIRS-based hybrid image construction and classification using CNN-LSTM
by: Nabeeha Ehsan Mughal, et al.
Published: (2022-08-01)

A New Way of Airline Traffic Prediction Based on GCN-LSTM
by: Jiangni Yu
Published: (2021-12-01)

Vision-Based Activity Classification of Excavators by Bidirectional LSTM
by: In-Sup Kim, et al.
Published: (2022-12-01)

PLS-CNN-BiLSTM: An End-to-End Algorithm-Based Savitzky–Golay Smoothing and Evolution Strategy for Load Forecasting
by: Mohamed Massaoudi, et al.
Published: (2020-10-01)

A deep learning-based hybrid approach for multi-time-ahead streamflow prediction in an arid region of Northwest China
by: Jinjie Fang, et al.
Published: (2024-02-01)

Hierarchical Spatial-Spectral Feature Extraction with Long Short Term Memory (LSTM) for Mineral Identification Using Hyperspectral Imagery
by: Huijie Zhao, et al.
Published: (2020-11-01)

A Directed Acyclic Graph Network Combined With CNN and LSTM for Remaining Useful Life Prediction
by: Jialin Li, et al.
Published: (2019-01-01)