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Mathematical Problems in Engineering
Volume 2013, Article ID 135149, 7 pages
http://dx.doi.org/10.1155/2013/135149
Research Article

Piecewise-Smooth Support Vector Machine for Classification

School of Automation, Xi'an University of Posts and Telecommunications, Xi'an 710121, China

Received 18 November 2012; Revised 12 March 2013; Accepted 13 March 2013

Academic Editor: Jun Zhao

Copyright © 2013 Qing Wu and Wenqing Wang. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • Jinjin Liang, “Smooth Diagonal Weighted Newton Support Vector Machine,” Mathematical Problems in Engineering, 2013. View at Publisher · View at Google Scholar
  • Qing Wu, Leyou Zhang, and Wan Wang, “New family of piecewise smooth support vector machine,” Journal of Systems Engineering and Electronics, vol. 26, no. 3, pp. 618–625, 2015. View at Publisher · View at Google Scholar
  • Santi Wulan Purnami, Shofi Andari, and Yuniati Dian Pertiwi, “High-Dimensional Data Classification Based on Smooth Support Vector Machines,” Procedia Computer Science, vol. 72, pp. 477–484, 2015. View at Publisher · View at Google Scholar
  • San-Yang Liu, and De Wu, “Fuzzy clustering smooth support vector machine,” Kongzhi yu Juece/Control and Decision, vol. 32, no. 3, pp. 547–551, 2017. View at Publisher · View at Google Scholar
  • Jian-Jian Wang, Zi-Xuan Wu, Feng Y He, and Li-Li Chen, “Construction of Pad'e32 smooth support vector machine model and its application,” Kongzhi Lilun Yu Yingyong/Control Theory and Applications, vol. 35, no. 9, pp. 1302–1310, 2018. View at Publisher · View at Google Scholar
  • Feng He, Jianjian Wang, and Zixuan Wu, “Construction of a padé33 smooth support vector machine model and its application,” Advances in Intelligent Systems and Computing, vol. 752, pp. 267–274, 2019. View at Publisher · View at Google Scholar