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Refinado por: assunto: Artificial Neural Networks remover assunto: Earth Sciences remover
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1
Comparison of the Efficiency of Machine Learning Methods in Studying the Importance of Input Features in the Problem of Forecasting the Dst Geomagnetic Index
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Comparison of the Efficiency of Machine Learning Methods in Studying the Importance of Input Features in the Problem of Forecasting the Dst Geomagnetic Index

Vladimirov, R. D. ; Shirokiy, V. R. ; Myagkova, I. N. ; Barinov, O. G. ; Dolenko, S. A.

Geomagnetism and Aeronomy, 2023-04, Vol.63 (2), p.161-171 [Periódico revisado por pares]

Moscow: Pleiades Publishing

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2
Prediction of the Dst Geomagnetic Index Using Adaptive Methods
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Prediction of the Dst Geomagnetic Index Using Adaptive Methods

Myagkova, I. N. ; Shirokii, V. R. ; Vladimirov, R. D. ; Barinov, O. G. ; Dolenko, S. A.

Russian meteorology and hydrology, 2021-01, Vol.46 (3), p.157-162 [Periódico revisado por pares]

Moscow: Pleiades Publishing

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3
Short- and Medium-range Prediction of Relativistic Electron Flux in the Earth’s Outer Radiation Belt by Machine Learning Methods
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Artigo
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Short- and Medium-range Prediction of Relativistic Electron Flux in the Earth’s Outer Radiation Belt by Machine Learning Methods

Myagkova, I. N. ; Shirokii, V. R. ; Shugai, Yu. S. ; Barinov, O. G. ; Vladimirov, R. D. ; Dolenko, S. A.

Russian meteorology and hydrology, 2021-01, Vol.46 (3), p.163-171 [Periódico revisado por pares]

Moscow: Pleiades Publishing

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4
The Use of Coupling Functions in the Forecasting of the Dst-Index Amplitude with Adaptive Methods
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The Use of Coupling Functions in the Forecasting of the Dst-Index Amplitude with Adaptive Methods

Myagkova, I. N. ; Shirokii, V. R. ; Kalegaev, V. V. ; Barinov, O. G. ; Dolenko, S. A.

Geomagnetism and Aeronomy, 2021, Vol.61 (1), p.138-147 [Periódico revisado por pares]

Moscow: Pleiades Publishing

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