机译:
School of Computer Science and Technology, Tianjin University, Tianjin, China;
National Space Science Center, Chinese Academy of Sciences, Beijing, China;
Long short-term memory (LSTM) is introduced in Kp forecasting; The samples are divided into storm and nonstorm; and then two models are trained separately; Comparing six models and good performance is observed from the proposed model;
机译:National Space Science Center Researchers Illuminate Research in Machine Learning A machine learning-based model for the next 3-day geomagnetic index (Kp) forecast
机译:Enhancement of solar wind low-energy energetic particles as precursor of geomagnetic disturbance in operational geomagnetic forecast
机译:Short-Term Solar Irradiance Forecasting Using CNN-1D, LSTM, and CNN-LSTM Deep Neural Networks: A Case Study With the Folsom (USA) Dataset
机译:FORECAST-CLSTM:一种用于卷云临近预报的新型卷积LSTM网络
机译:Occupant Behavior in Building Energy Management: Behavioral Characterization, Intervention and Forecasting =建筑能耗管理中用户行为研究:行为特征、干预和预测
机译:基于LSTM的时间序列数据填充方法以LSTM为例
机译:KP [右箭头] KP [pion] + [pion]-[pion] 0和KP [右箭头] KN [pion] + [pion] + [pion]-在4.6和5.0 BeV / C
机译:苦味酸钾(Kp)和Kp /爆炸物混合物的点火和爆燃:低压,非主要雷管