Forecasting the magnetospheric plasma conditions using Machine Learning 
Techniques and Cluster RAPID data

Ilie, R.; Huang, Y.; Kronberg, Elena A.; Hu, H.

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Forecasting the magnetospheric plasma conditions using Machine Learning Techniques and Cluster RAPID data

Ilie, R., Huang, Y., Kronberg, E. A., & Hu, H. (2019). Forecasting the magnetospheric plasma conditions using Machine Learning Techniques and Cluster RAPID data. Poster presented at Machine Learning in Heliophysics, Amsterdam, Netherlands.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0005-4C3F-1 Version Permalink: https://hdl.handle.net/21.11116/0000-0007-01B1-F

Genre: Poster

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Creators:
Ilie, R., Author
Huang, Y., Author
Kronberg, Elena A.¹, Author
Hu, H., Author

Affiliations:
1Department Planets and Comets, Max Planck Institute for Solar System Research, Max Planck Society, ou_1832288

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MPIS_PROJECTS: Cluster: RAPID

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Title: Machine Learning in Heliophysics

Place of Event: Amsterdam, Netherlands

Start-/End Date: 2019-09-16 - 2019-09-20

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