机译:基于AdaBoost的短期电离层foF2预测模型。
Key Laboratory of Ionospheric Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China,Beijing National Observatory of Space Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences. Beijing 100029, China;
Key Laboratory of Ionospheric Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China,Beijing National Observatory of Space Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences. Beijing 100029, China;
Key Laboratory of Ionospheric Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China,Beijing National Observatory of Space Environment, Institute of Geology and Geophysics, Chinese Academy of Sciences. Beijing 100029, China;
Department of Mechanical Engineering, University of Houston, Houston, TX 77204, USA,School of Civil Engineering, Dalian University of Technology, Dalian, Liaoning, China;
AdaBoost; Ionosphere; foF2; Short-term prediction;
机译:用于欧洲地区月度foF2建模和长期预测的电离层指数MF2n
机译:电离层foF2参数的单站模型可用于预测和瞬时映射
机译:基于太阳风参数驱动的自回归建模技术对欧洲的电离层foF2进行预测
机译:基于Adaboost算法和ELMAN的短期光伏电力预测建模
机译:基于BP和Adaboost_BP的风速和风能的短期预测。
机译:基于Adaboost-Markov模型的移动用户的下一个位置预测
机译:使用欧洲站点的历史和实时fO2观测值进行foF2短期(1-24小时)预测的方法:EUROmap模型
机译:在扩展太阳最小值期间使用IRI-2007模型预测的foF2测量的比较研究