Automated Classification of Sunspot Groups with Support Vector Machines-Reference-Cited by-同舟云学术

Automated Classification of Sunspot Groups with Support Vector Machines

Published:2010 Issue: Volume: Page:321-325
ISSN:
Container-title:Technological Developments in Networking, Education and Automation
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Author:

Abd Mehmmood A.,Majed Sarab F.,Zharkova V.

Publisher

Springer Netherlands

Link

http://link.springer.com/content/pdf/10.1007/978-90-481-9151-2_56.pdf

Reference12 articles.

1. T. Nguyen, C. P. Willis, D. J. Paddon,”Learning sunspot classification,“ Fundamental Informaticae XX, vol.72, 2006, pp 295-309.

2. P. McIntosh,” Solar Physics,”, pp. 125-251, 1990.

3. S. Zharkov, V. Zharkova, S. Ipson, A. Benkhalil,”Technique for automated recognition of sunspots on full disk solar,”,EURASIP Journal on Applied Signal Processing, vol. 15 , pp. 2573–2584 2005.

4. S. Majed, M.Abd and V.Zharkova, ” Automated detection of sunspots and sunspot groups in full-disk solar images,” , Accepted in CISSE09

5. Christopher J.C., ”A tutorial on support vector machines for pattern recognition”, [Online] Available: http://aya.technion.ac.il/karniel/CMCC/SVM-tutorial.pdf .

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