A Model-Assisted Combined Machine Learning Method for Ionospheric TEC Prediction

A Model-Assisted Combined Machine Learning Method for Ionospheric TEC Prediction

In order to improve the prediction accuracy of ionospheric total electron content (TEC), a combined intelligent prediction model (MMAdapGA-BP-NN) based on a multi-mutation, multi-cross adaptive genetic algorithm (MMAdapGA) and a back propagation neural network (BP-NN) was proposed. The model combine...

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Bibliographic Details
Main Authors: Jiaxuan Weng, Yiran Liu, Jian Wang
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Remote Sensing
Subjects:
TEC
prediction
machine learning
neural network
genetic algorithm
Online Access:https://www.mdpi.com/2072-4292/15/12/2953

Internet

https://www.mdpi.com/2072-4292/15/12/2953

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