Using Back Propagation Neural Network Method to Forecast Daily Indices of Solar Activity F10.7
Chao XIAO, Guosheng CHENG, Hua Zhang, Zhaojin Rong, Chao Shen, Bo Zhang, Hui Hu · Chinese Journal of Space Science · 2017
The solar 10.7 cm radio flux，F10.7，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 F10.7 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 F10.7 based on the trial data set of F10.7 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.