Machine Learning-Based Estimation of foF2 and MUF(3000)F2 Using GNSS Ionospheric TEC Observations

This study developed machine learning models using different algorithms, including support vector machine (SVM), random forest (RF), and backpropagation neural network (BPNN), to estimate the critical frequency of the F2 layer (foF2) and the maximum usable frequency of the F2 layer for a 3000 km cir...

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Principais autores:	Yuhang Zhang, Ming Ou, Liang Chen, Yi Hao, Qinglin Zhu, Xiang Dong, Weimin Zhen
格式:	Artigo
語言:	Inglês
出版:	MDPI AG 2025-05-01
叢編:	Remote Sensing
主題:	machine learning SVM RF BPNN TEC foF2
在線閱讀:	https://www.mdpi.com/2072-4292/17/10/1764
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