A Novel Data-Driven Tropical Cyclone Track Prediction Model Based on CNN and GRU With Multi-Dimensional Feature Selection

A Novel Data-Driven Tropical Cyclone Track Prediction Model Based on CNN and GRU With Multi-Dimensional Feature Selection

Strong tropical cyclones have made a drastic effect on human life and natural environment. As large amounts of meteorological data and monitoring data continue to accumulate, traditional methods for predicting tropical cyclone tracks face numerous challenges regarding their prediction efficiency and...

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Bibliographic Details
Main Authors: Jie Lian, Pingping Dong, Yuping Zhang, Jianguo Pan, Kehao Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Tropical cyclones tracks prediction
deep learning
feature selection
typhoon
Online Access:https://ieeexplore.ieee.org/document/9085360/

Internet

https://ieeexplore.ieee.org/document/9085360/

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