On the predictability of foF2 using support vector machine

摘要：

　　This paper proposes a method for forecasting the ionospheric critical frequency,foF2,twenty-tour hour in advance using the support vector machine approach.The output is the predicted foF2 twenty-four hour ahead.The network is trained to use the ionospheric sounding data at Guangzhou station at high and low solar activity.The performance of the SVM model was verified with observed data.It is shown that the predicted foF2 has agreement with the observed foF2.

关键词： foF2 support vector machine

作者: Chen chun Ban panpan Sun shuji

作者单位: information centre China Research Institude of Radiowave Propagation Qingdao,China

会议类型: 国际会议

会议名称: The 12th International Symposium Antennas, Propagation, and EM Theory(ISAPE 2018)?(第十二届天线、传播与电磁理论国际学术会议)

会议地点: 杭州

会议语种:英文

页码: 1-4

在线出版日期: 2018-12-03（万方平台首次上网日期，不代表论文的发表时间）