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

DOI

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.

Copyright

© 2015, 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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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  - Proceedings of the 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  - 10.2991/icismme-15.2015.32
ID  - Shi2015/07
ER  -