首页|Data from Cornell University Provide New Insights into Machine Learning (Predicting Equatorial Ionospheric Convective Instability Using Machine Learning)
Data from Cornell University Provide New Insights into Machine Learning (Predicting Equatorial Ionospheric Convective Instability Using Machine Learning)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Machine Learning have been published. According to news reportingout of Ithaca, New York, by NewsRx editors, research stated, “The numerical forecast methods used topredict ionospheric convective plasma instabilities associated with Equatorial Spread-F (ESF) have limitedaccuracy and are often computationally expensive. We test whether it is possible to bypass first-principlenumeric simulations and forecast irregularities using machine learning models.”
IthacaNew YorkUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningCornell University
NETL
NSTL
