A Solving Algorithm of Fuzzy Support Vector Machines Based on Determination of Membership
- https://doi.org/10.2991/iccia.2012.182How to use a DOI?
- Support Vector Machine, Fuzzy Support Vector Machine, the fuzzy membership, SMO
In order to overcome the issues that Support Vector Machine is sensitive to the outlier and noise points, Fuzzy Support Vector Machine (FSVM) is proposed. The key issue to solve the FSVM is determinate the fuzzy membership. This paper gives an overview of construction algorithm of the fuzzy membership. We also give an algorithm to solve FSVM that is derived from improved-SMO algorithm.
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Hua Duan AU - Yanmei Hou PY - 2014/05 DA - 2014/05 TI - A Solving Algorithm of Fuzzy Support Vector Machines Based on Determination of Membership BT - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012) PB - Atlantis Press SP - 757 EP - 760 SN - 1951-6851 UR - https://doi.org/10.2991/iccia.2012.182 DO - https://doi.org/10.2991/iccia.2012.182 ID - Duan2014/05 ER -