首页|New Findings Reported from Hangzhou Dianzi University Describe Advances in Machine Learning (Ionospheric Fof2 Nowcast Based On a Machine Learning Gwo-alstm Model)
New Findings Reported from Hangzhou Dianzi University Describe Advances in Machine Learning (Ionospheric Fof2 Nowcast Based On a Machine Learning Gwo-alstm Model)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. Accordingto news reporting originating in Hangzhou, People’s Republic of China, by NewsRx journalists, researchstated, “The ionospheric foF2 prediction model GWO-ALSTM is proposed in this paper, which combinesthe Gray Wolf Optimization (GWO) algorithm and the attention mechanism based on the long short-termmemory (LSTM) model. The datasets used in this model were obtained from the oblique ionosondes ofthe China Ground-based Seismo-ionospheric Monitoring Network.”
HangzhouPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningHangzhou Dianzi University
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