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International Symposium on Information Engineering and Electronic Commerce, 3rd (IEEC 2011)

Editor
C. B. Povloviq
C. B. Povloviq
National Technical University of Ukraine
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C. W. Lu
C. W. Lu
Huangshi Institute of Technology
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ISBN:
9780791859759
No. of Pages:
562
Publisher:
ASME Press
Publication date:
2011

Support Vector Machine (SVM) as an approach of machine learning, has made a rapid progress in theoretic research and practical application. Support vector machine has successfully resolved regression with its calculation advantages and applicable feasibility. This paper presents the Support Vector Regression (SVR) with the datasets of sunspot based on Spider. And it also reaches the aim of prediction about sunspot.

Abstract
Keywords
Introduction
Algorithm Descriptions
Data Set Description
Algorithm Tool Software and Self-Made Programming Instruction
Anti-Interference Measure
Conclusion
References
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