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Selecting the key control parameters for the ionospheric total electron content nowcasting

... random forest and support vectors methods. Using these key parameters, the linear regression model allows obtaining an estimate on the interval of 4-7 hours with RMS ~4.5 TECU. The machine learning methods such as random forest, support vector method and gradient boosting allow to reduce RMS to 3-3.5 TECU. © 2018 Space Research Institute of the Russian Academy of Sciences. All rights reserved. нет

Теги: absolute total electron content , gradient boosting , machine learning , nowcasting , random forest , support vector machine
Раздел: ИСЭМ СО РАН


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