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

... time rather complicated task. One of the main issues is the selection of control parameters for constructing accurate predictive model (feature selection). The approach is based on the machine learning technology for this problem solution. The vertical absolute total electron content (TEC) with a time resolution of 30 minutes is used as experimental data. The data were obtained using phase and group measurements of TEC at the mid-latitude IRKJ station (52 N, 104 E) for 2014. The results showed that ...

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


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