scholarly journals Neural Network Prediction of Daily Relativistic Electrons Fluence in the Outer Radiation Belt of the Earth: Selection of Delay Embedding Method ⁎ ⁎This study has been conducted at the expense of Russian Science Foundation, grant no. 16-17-00098.

2018 ◽  
Vol 123 ◽  
pp. 86-91
Author(s):  
Roman Batusov ◽  
Sergey Dolenko ◽  
Irina Myagkova
Keyword(s):  
Neural Network ◽  
Radiation Belt ◽  
Relativistic Electrons ◽  
Russian Science ◽  
Outer Radiation Belt ◽  
Embedding Method ◽  
The Earth ◽  
Neural Network Prediction ◽  
Network Prediction ◽  
Selection Of

Short- and Medium-range Prediction of Relativistic Electron Flux in the Earth’s Outer Radiation Belt by Machine Learning Methods

2021 ◽  
Vol 3 ◽  
pp. 47-57
Author(s):  
I. N. Myagkova ◽  
◽  
V. R. Shirokii ◽  
Yu. S. Shugai ◽  
O. G. Barinov ◽  
...  
Keyword(s):  
Machine Learning ◽  
Radiation Belt ◽  
Gradient Boosting ◽  
Relativistic Electrons ◽  
Learning Methods ◽  
Outer Radiation Belt ◽  
Machine Learning Methods ◽  
The Earth ◽  
Skill Scores ◽  
Medium Range

The ways are studied to improve the quality of prediction of the time series of hourly mean fluxes and daily total fluxes (fluences) of relativistic electrons in the outer radiation belt of the Earth 1 to 24 hours ahead and 1 to 4 days ahead, respectively. The prediction uses an approximation approach based on various machine learning methods, namely, artificial neural networks (ANNs), decision tree (random forest), and gradient boosting. A comparison of the skill scores of short-range forecasts with the lead time of 1 to 24 hours showed that the best results were demonstrated by ANNs. For medium-range forecasting, the accuracy of prediction of the fluences of relativistic electrons in the Earth’s outer radiation belt three to four days ahead increases significantly when the predicted values of the solar wind velocity near the Earth obtained from the UV images of the Sun of the AIA (Atmospheric Imaging Assembly) instrument of the SDO (Solar Dynamics Observatory) are included to the list of the input parameters.

Dynamics of the Relativistic Electrons Flux of the Earth Outer Radiation Belt Based on the MKL Instrument Data

2013 ◽  
pp. 327-336
Author(s):  
S. N. Kuznetsov ◽  
I. N. Myagkova ◽  
E. A. Muravieva ◽  
B. Yu. Yushkov ◽  
L. I. Starostin ◽  
...  
Keyword(s):  
Radiation Belt ◽  
Relativistic Electrons ◽  
Outer Radiation Belt ◽  
The Earth

Efficient Secure Neural Network Prediction Protocol Reducing Accuracy Degradation

2020 ◽  
Vol E103.A (12) ◽  
pp. 1367-1380
Author(s):  
Naohisa NISHIDA ◽  
Tatsumi OBA ◽  
Yuji UNAGAMI ◽  
Jason PAUL CRUZ ◽  
Naoto YANAI ◽  
...  
Keyword(s):  
Neural Network ◽  
Neural Network Prediction ◽  
Network Prediction
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