首页|Reports Outline Machine Learning Findings from University of Alaska Fairbanks (C alculating the High-latitude Ionospheric Electrodynamics Using a Machine Learnin g-based Field-aligned Current Model)
Reports Outline Machine Learning Findings from University of Alaska Fairbanks (C alculating the High-latitude Ionospheric Electrodynamics Using a Machine Learnin g-based Field-aligned Current Model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News - A new study on Machine Learning is now available. According to news reporting from Fairbanks, Alaska, by NewsRx journa lists, research stated, “We introduce a new framework called Machine Learning (M L) based Auroral Ionospheric electrodynamics Model (ML-AIM). ML-solves a current continuity equation by utilizing the ML model of Field Aligned Currents of Kund uri et al. (2020, ), the FAC-derived auroral conductance model of Robinson et al . (2020, ), and the solar irradiance conductance model of Moen and Brekke (1993, ). The ML-inputs are 60-min time histories of solar wind plasma, interplanetary magnetic fields (IMF), and geomagnetic indices, and its outputs are ionospheric electric potential, electric fields, Pedersen/Hall currents, and Joule Heating. ”
FairbanksAlaskaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningUniversit y of Alaska Fairbanks
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