A Hybrid Deep Learning‐Based Forecasting Model for the Peak Height of Ionospheric F2 Layer

A Hybrid Deep Learning‐Based Forecasting Model for the Peak Height of Ionospheric F2 Layer

Abstract To achieve accurate forecasting of the peak height of the ionospheric F2 layer (hmF2), we propose a hybrid deep learning model of improved seagull optimization algorithm (ISOA) optimized long short‐term memory (LSTM) model based on a complete ensemble empirical mode decomposition with adapt...

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Bibliographic Details
Main Authors: Ya‐fei Shi, Cheng Yang, Jian Wang, Yu Zheng, Fan‐yi Meng, Leonid F. Chernogor
Format: Article
Language:English
Published: Wiley 2023-10-01
Series:Space Weather
Subjects:
ionosphere
peak height
forecasting
deep learning
Online Access:https://doi.org/10.1029/2023SW003581
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https://doi.org/10.1029/2023SW003581

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