A Parameter Selection Method of Support Vector Machine Based on Improved FOA
Huishu Shi, Yi Zhu, Ye San, Lei Wang
Available Online July 2015.
- https://doi.org/10.2991/icismme-15.2015.32How to use a DOI?
- Parameter selection; Fruit Fly Optimization algorithm; Support vector machine; Uniform design
- 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.
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 -