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Journal of Control Science and Engineering
Volume 2017, Article ID 3614790, 12 pages
https://doi.org/10.1155/2017/3614790
Research Article

Parameter Selection Method for Support Vector Regression Based on Adaptive Fusion of the Mixed Kernel Function

1College of Electrical and Information Engineering, Quzhou University, Quzhou 324000, China
2Logistics Engineering College, Shanghai Maritime University, Shanghai 200000, China
3Department of Automation, Zhejiang University of Technology, Hangzhou 310023, China

Correspondence should be addressed to Daxing Xu; moc.361@uxgnixad

Received 30 June 2017; Revised 14 September 2017; Accepted 8 October 2017; Published 2 November 2017

Academic Editor: Yuan Yao

Copyright © 2017 Hailun Wang and Daxing Xu. 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 [4 citations]

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

  • Fuyong Wang, Zhongxin Liu, and Zengqiang Chen, “Distributed Tracking Control for Second-Order Multi-Agent Systems with Aperiodically Intermittent Position Measurements,” 2018 IEEE 8th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER), pp. 1006–1011, . View at Publisher · View at Google Scholar
  • Fuyong Wang, Zhongxin Liu, and Zengqiang Chen, “Distributed containment control for second-order multiagent systems with time delay and intermittent communication,” International Journal of Robust and Nonlinear Control, 2018. View at Publisher · View at Google Scholar
  • Fuyong Wang, Zhongxin Liu, Zengqiang Chen, and Sensen Wang, “Containment control for second-order nonlinear multi-agent systems with intermittent communications,” International Journal of Systems Science, pp. 1–16, 2019. View at Publisher · View at Google Scholar
  • Viet-Ha Nhu, Nhat-Duc Hoang, Van-Binh Duong, Hong-Dang Vu, and Dieu Tien Bui, “A hybrid computational intelligence approach for predicting soil shear strength for urban housing construction: a case study at Vinhomes Imperia project, Hai Phong city (Vietnam),” Engineering with Computers, 2019. View at Publisher · View at Google Scholar