Opening the Black Box of the Radiation Belt Machine Learning Model
Opening the Black Box of the Radiation Belt Machine Learning Model
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Publisher
Washington: John Wiley & Sons, Inc
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Language
English
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Publisher
Washington: John Wiley & Sons, Inc
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Contents
Many Machine Learning (ML) systems, especially deep neural networks, are fundamentally regarded as black boxes since it is difficult to fully grasp how they function once they have been trained. Here, we tackle the issue of the interpretability of a high‐accuracy ML model created to model the flux of Earth's radiation belt electrons. The Outer RadI...
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Full title
Opening the Black Box of the Radiation Belt Machine Learning Model
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TN_cdi_doaj_primary_oai_doaj_org_article_770237d76325403db024b071a632a05e
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_770237d76325403db024b071a632a05e
Other Identifiers
ISSN
1542-7390,1539-4964
E-ISSN
1542-7390
DOI
10.1029/2022SW003339
