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A hybrid supervised/unsupervised machine learning approach to solar flare prediction
- Publication Year :
- 2017
-
Abstract
- We introduce a hybrid approach to solar flare prediction, whereby a supervised regularization method is used to realize feature importance and an unsupervised clustering method is used to realize the binary flare/no-flare decision. The approach is validated against NOAA SWPC data.
Details
- Database :
- OAIster
- Publication Type :
- Electronic Resource
- Accession number :
- edsoai.on1363481688
- Document Type :
- Electronic Resource
- Full Text :
- https://doi.org/10.3847.1538-4357.aaa23c