首页|Reports from University of California Los Angeles (UCLA) Provide New Insights in to Machine Learning (Nonlinear Wave-particle Interaction Effects On Radiation Be lt Electron Dynamics In 9 October 2012 Storm)
Reports from University of California Los Angeles (UCLA) Provide New Insights in to Machine Learning (Nonlinear Wave-particle Interaction Effects On Radiation Be lt Electron Dynamics In 9 October 2012 Storm)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Los Angeles, C alifornia, by NewsRx journalists, research stated, “We study the geomagnetic sto rm of 9 October 2012, where it had been generally accepted that the resulting pr ominent outer radiation belt electron acceleration throughout the storm is due t o whistler-mode chorus waves. This storm has been studied previously by two-dime nsional Fokker-Planck numerical simulations with data-driven quasi-linear (QL) d iffusion rates.” Funders for this research include National Science Foundation (NSF), National Ae ronautics & Space Administration (NASA).
Los AngelesCaliforniaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningUni versity of California Los Angeles (UCLA)
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