Abstract
The support vector machine is a new type of machine learning methods based on statistical learning theory. Because of good promotion and a higher accuracy, support vector machine has become the research focus of the machine learning community. This paper introduces the basic theory of support vector machine, the basic idea of the classification and currently used support vector machine classification algorithm. Practical problems with which an algorithm, and proves the effectiveness of the algorithm, the final outlook of the prospects of support vector machines in classification applications. Finally the prospect of the prospect of support vector machines in classification applications.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Vapnik, V.N.: Statistical learning theory. Springer, New York (1995)
Cortes, C., Vapnik, V.: Support vector networks. Machine Learning 20(3), 273–297 (1995)
Deng, N., et al.: Support vector Machine Theory, algorithms and Development, p.176. Science Press, Beijing (2009) (in Chinese)
Xue, N.: Comparison of multi-class support vector machines. Computer Engineering and Design (5) (2011) (in Chinese)
Zhang, Y., Zhu, Y., Lin, S., Liu, X.: Application of Least Squares Support Vector Machine in Fault Diagnosis. In: Liu, C., Chang, J., Yang, A. (eds.) ICICA 2011, Part II. CCIS, vol. 244, pp. 192–200. Springer, Heidelberg (2011)
Hu, Y., Zhuang, S., Peng, X., Xie, J., Chen, Y.: Products Serial Numbers Recognition Based on Support Vector Machine. Machinery & Electronics (2) (2012) (in Chinese)
Ding, Y., Qin, X., He, H.: Parameter Optimizing of Support Vector Machine and Application in Text Classification Computer Simulation (11) (2010) (in Chinese)
Li, G., Cui, G.: A Improved Algorithms of Fuzzy Support Vector Machines. Computer Measurement & Control (4) (2011)
Zhang, Z., Wang, S., Deng, Z., Chung, F.: A fast decision algorithm of support vector machine. Control and Decision (3) (2012) (in Chinese)
Gou, B., Huang, X.: SVM Multi-Class Classification. Journal of Data Acquisition & Processing (03) (2006) (in Chinese)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, Y. (2012). Support Vector Machine Classification Algorithm and Its Application. In: Liu, C., Wang, L., Yang, A. (eds) Information Computing and Applications. ICICA 2012. Communications in Computer and Information Science, vol 308. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34041-3_27
Download citation
DOI: https://doi.org/10.1007/978-3-642-34041-3_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34040-6
Online ISBN: 978-3-642-34041-3
eBook Packages: Computer ScienceComputer Science (R0)