Computer Prediction of Seawater Sensor Parameters in the Central Arctic Region Based on Hybrid Machine Learning Algorithms

Computer Prediction of Seawater Sensor Parameters in the Central Arctic Region Based on Hybrid Machine Learning Algorithms

In recent years, with the large-scale reduction of Arctic sea ice, the supplement of chlorophyll sensor data in seawater has become an essential part of environmental assessment. Accurately predicting the chlorophyll sensor data in seawater is of great significance to protect the Arctic marine ecolo...

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Bibliographic Details
Main Authors: Yuchen Wang, Jingxue Guo, Zhe Yang, Yinke Dou, Xiaomin Chang, Ruina Sun, Guangyu Zuo, Wangxiao Yang, Ce Liang, Yanzhao Hao, Jianlong Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Arctic ocean data
chlorophyll-a
ice buoy measurement
neural networks
Online Access:https://ieeexplore.ieee.org/document/9261369/

Internet

https://ieeexplore.ieee.org/document/9261369/

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