Optimizing Deep Learning Models with Improved BWO for TEC Prediction

Optimizing Deep Learning Models with Improved BWO for TEC Prediction

The prediction of total ionospheric electron content (TEC) is of great significance for space weather monitoring and wireless communication. Recently, deep learning models have become increasingly popular in TEC prediction. However, these deep learning models usually contain a large number of hyperp...

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Bibliographic Details
Main Authors: Yi Chen, Haijun Liu, Weifeng Shan, Yuan Yao, Lili Xing, Haoran Wang, Kunpeng Zhang
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Biomimetics
Subjects:
TEC prediction
hyperparameter optimization
beluga whale optimization
swarm intelligence
deep learning model optimization
Online Access:https://www.mdpi.com/2313-7673/9/9/575
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