Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

A Parameter Selection Method of Support Vector Machine Based on Improved FOA

Authors
Huishu Shi, Yi Zhu, Ye San, Lei Wang
Corresponding Author
Huishu Shi
Available Online July 2015.
DOI
https://doi.org/10.2991/icismme-15.2015.32How to use a DOI?
Keywords
Parameter selection; Fruit Fly Optimization algorithm; Support vector machine; Uniform design
Abstract
Parameter selection is an important issue for support vector machine. To solve that problem, an improved fruit fly optimization algorithm is proposed in this paper, and used for parameter selection of support vector machine. The initial position and the iteration step size are improved in the new algorithm, and it has stronger search capability. Effectiveness and generality of the method are proved by experiment on standard data sets.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
First International Conference on Information Sciences, Machinery, Materials and Energy
Part of series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
978-94-62520-67-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/icismme-15.2015.32How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Huishu Shi
AU  - Yi Zhu
AU  - Ye San
AU  - Lei Wang
PY  - 2015/07
DA  - 2015/07
TI  - A Parameter Selection Method of Support Vector Machine Based on Improved FOA
BT  - First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 156
EP  - 159
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.32
DO  - https://doi.org/10.2991/icismme-15.2015.32
ID  - Shi2015/07
ER  -