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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.

How to Cite this Article

Hailun Wang and Daxing Xu, “Parameter Selection Method for Support Vector Regression Based on Adaptive Fusion of the Mixed Kernel Function,” Journal of Control Science and Engineering, vol. 2017, Article ID 3614790, 12 pages, 2017. https://doi.org/10.1155/2017/3614790.