Incorporating Physical Knowledge Into Machine Learning for Planetary Space Physics

Azari, AR; Lockhart, JW; Liemohn, MW; Jia, XZ

Azari, AR (corresponding author), Univ Michigan, Climate & Space Sci & Engn Dept, Ann Arbor, MI 48109 USA.; Azari, AR (corresponding author), Univ Calif Berkeley, Space Sci Lab, Berkeley, CA 94720 USA.

FRONTIERS IN ASTRONOMY AND SPACE SCIENCES, 2020; 7 ():

Abstract

Recent improvements in data collection volume from planetary and space physics missions have allowed the application of novel data science techniques.......

Full Text Link