Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)

A Solving Algorithm of Fuzzy Support Vector Machines Based on Determination of Membership

Authors
Hua Duan, Yanmei Hou
Corresponding Author
Hua Duan
Available Online May 2014.
DOI
https://doi.org/10.2991/iccia.2012.182How to use a DOI?
Keywords
Support Vector Machine, Fuzzy Support Vector Machine, the fuzzy membership, SMO
Abstract

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.

Copyright
© 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/).

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Volume Title
Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-91216-41-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccia.2012.182How to use a DOI?
Copyright
© 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  -