摘要
采用人工神经网络预报方法，利用太阳耀斑的日面位置、X射线辐射的峰值流量及其上升时间、2695MHz和8800MHz微波辐射的半积分流量等5个物理参量，提出了一个新的太阳质子事件警报方案，预报太阳质子事件的发生及其流量和时间．该方案在本文检验中达到93．75％的预报准确率．
A new warning scheme of solar proton events was proposed in this paper. In this scheme, five parameters including the solar flare position in the sun, the peak flux of X ray radiations and its rise bine, the half integrated fluxes of microwave fadiations of 2695MHz and 8800MHz, were used to give a warning of the occurences of solar proton events and their peak flux and time with an ANN (Artificial Neural Network) method. A simple discription of ANN was given. Some historical data of solar flares and solar proton events were provided for ANN's training and test repectively. Results showed that the presented scheme has a prediction accuracy of 93.75%.
出处
《空间科学学报》
CAS
CSCD
北大核心
1998年第4期323-328,共6页
Chinese Journal of Space Science
基金
"863"航天高技术资助
