Title: ANFIS Based Intelligent Solar Flare Prediction System

Year of Publication: Nov - 2014
Page Numbers: 49-55
Authors: Hussain Ageel Naseer, Ajmal Hussain Shah, Raed Abdulla
Conference Name: The International Conference on Electrical, Electronics, Computer Engineering and their Applications (EECEA2014)
- Malaysia


Satellite plays vital role in conveying information around the world. Satellites communication systems provide various services such as TV broadcasting, internet, telephone, telemedicine and GPS. However, these systems are threatened by solar radiation so called solar flare erupted from the Sun which is one of the major threats faced by satellites orbiting around the Earth. Thus, to keep satellites from being damaged an intelligent ANFIS based solar flare prediction system is proposed in this paper. The system is trained with publicly available time series data of flares occurred in the past from 2001-2011. The results show that the system has the accuracy of 85.47 % and it is capable of detecting the flare 24 hour before its occurrence.