Similarity Grouping-Guided Neural Network Modeling for Maritime Time Series Prediction

Similarity Grouping-Guided Neural Network Modeling for Maritime Time Series Prediction

Reliable and accurate prediction of time series plays a crucial role in the maritime industry, such as economic investment, transportation planning, port planning, design, and so on. The dynamic growth of maritime time series has the predominantly complex, and nonlinear and non-stationary properties...

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Bibliographic Details
Main Authors: Yan Li, Ryan Wen Liu, Zhao Liu, Jingxian Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Data prediction
neural network
similarity grouping
empirical mode decomposition (EMD)
dynamic time warping (DTW)
Online Access:https://ieeexplore.ieee.org/document/8727861/

Internet

https://ieeexplore.ieee.org/document/8727861/

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