Time Series Surface Temperature Prediction Based on Cyclic Evolutionary Network Model for Complex Sea Area

Time Series Surface Temperature Prediction Based on Cyclic Evolutionary Network Model for Complex Sea Area

The prediction of marine elements has become increasingly important in the field of marine research. However, time series data in a complex environment vary significantly because they are composed of dynamic changes with multiple mechanisms, causes, and laws. For example, sea surface temperature (SS...

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Bibliographic Details
Main Authors: Jiahao Shi, Jie Yu, Jinkun Yang, Lingyu Xu, Huan Xu
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Future Internet
Subjects:
time series
deep learning
data mining
prediction
Online Access:https://www.mdpi.com/1999-5903/14/3/96

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