Using Back Propagation Neural Network Method to Forecast Daily Indices of Solar Activity F_(10.7)  

作　　者：XIAO Chao CHENG Guosheng ZHANG Hua RONG Zhaojin SHEN Chao ZHANG Bo HU Hui 

机构地区：[1]School of Mathematics and Statistics,Nanjing University of Information Science and Technology [2]Key Laboratory of Earth and Planetary Physics,Institute of Geology and Geophysics,Chinese Academy of Sciences [3]School of Science,Harbin Institute of Technology

出　　处：《空间科学学报》2017年第1期1-7,共7页Chinese Journal of Space Science

基　　金：Supported by the National Natural Science Foundation of China(41231066);the Foundation for Ministry of Science and Technology of China(2011CB811404);the Specialized Research Fund for State Key Laboratories of the CAS;the Scientific Research Staring Foundation for Nanjing University of Information Science and Technology(2013x030)

摘　　要：The solar 10.7 cm radio flux,F_(10.7),a measure of the solar radio flux per unit frequency at a wavelength of 10.7 cm,is a key and serviceable index for monitoring solar activities.The accurate prediction of F_(10.7) is of significant importance for short-term or long-term space weather forecasting.In this study,we apply Back Propagation(BP)neural network technique to forecast the daily F_(10.7)based on the trial data set of F_(10.7) from 1980 to 2001.Results show that this technique is better than the other prediction techniques for short-term forecasting,such as Support Vector Regression method.The solar 10.7 cm radio flux,F_（10.7）,a measure of the solar radio flux per unit frequency at a wavelength of 10.7 cm,is a key and serviceable index for monitoring solar activities.The accurate prediction of F_（10.7） is of significant importance for short-term or long-term space weather forecasting.In this study,we apply Back Propagation（BP）neural network technique to forecast the daily F_（10.7）based on the trial data set of F_（10.7） from 1980 to 2001.Results show that this technique is better than the other prediction techniques for short-term forecasting,such as Support Vector Regression method.

关 键 词：行星际磁场 扇形结构 地磁效应 特征向量 

分 类 号：P182[天文地球—天文学]