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A new solar flare prediction model based on large-scale image management

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4 Author(s)
Daren Yu ; School of Astronautics, Harbin Institute of Technology, China ; Xiaopeng Zhang ; Jinfu Liu ; Qiang Wang

Solar flare is one of the most powerful solar activities, which plays a very important role in daily life and space weather, so it is meaningful to predict solar flare accurately. In this paper, a new solar flare prediction model based on large-scale image management `LM-Sphere' has been proposed, which is built by large-margin, image indexing and hypersphere theory. Experimental results show that: 1) LM-Sphere has retained the distribution of original image data which reduced the accuracy loss of sampling in usual large-scale data modeling; 2) The application of large-scale image management method has solved the local minimum point's problem in K-nearest neighbor (KNN) algorithm which improved the accuracy of flare prediction. All in all, LM-sphere is a powerful model in solar flare prediction.

Published in:

2012 IEEE International Conference on Computer Science and Automation Engineering

Date of Conference:

22-24 June 2012