A new method for improving the performance of an ionospheric model developed by multi-instrument measurements based on artificial neural network
A new method for improving the performance of an ionospheric model developed by multi-instrument measurements based on artificial neural network
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基于人工神经网络的多仪器测量改进电离层模型性能的新方法
DOI:
10.1016/j.asr.2020.07.032
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发表时间:
2021-01
影响因子:
2.6
通讯作者:
Kefei Zhang
中科院分区:
文献类型:
--
作者:
Wang Li;Changyong He;Andong Hu;Dongsheng Zhao;Yi Shen;Kefei Zhang
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影响因子:
3.2
作者:
I. Müller-Wodarg;L. Moore;M. Galand;S. Miller;M. Mendillo
通讯作者:
I. Müller-Wodarg;L. Moore;M. Galand;S. Miller;M. Mendillo
影响因子:
2.6
作者:
Zhang, Man-Lian;Liu, Libo;Wan, Weixing;Ning, Baiqi
通讯作者:
Ning, Baiqi
影响因子:
2.6
作者:
V. S. Gowtam;S. T. Ram
通讯作者:
V. S. Gowtam;S. T. Ram
影响因子:
1.9
作者:
H. Rishbeth;I. Müller-Wodarg;L. Zou;T. Fuller‐Rowell;G. Millward;R. Moffett;D. W. Idenden;A. Ayl
通讯作者:
H. Rishbeth;I. Müller-Wodarg;L. Zou;T. Fuller‐Rowell;G. Millward;R. Moffett;D. W. Idenden;A. Ayl
影响因子:
2.6
作者:
Liu, Libo;Zhao, Biqiang;Chen, Yiding;Li, Guozhu
通讯作者:
Li, Guozhu