Research on LSSVM based on analytic selection and simulate anneal arithmetic
Dan Yang, Lie Zang, Lu Gan
Available Online December 2015.
- https://doi.org/10.2991/icmmcce-15.2015.208How to use a DOI?
- Software Reliability Model; Least Square Support Vector Machines (LSSVM); Analytic Selection (AS); Simulate Anneal Arithmetic (SA)
- In view of the existing situation of artificial parameter selection in the fitting process which using the LSSVM software reliability model, the combination method of analytic selection (AS) and simulate anneal arithmetic (SA) is proposed for parameter selection, then obtain the improved software reliability model based on ASSA-LSSVM. The ASSA-LSSVM model considers the optimization of the penalty parameters C and kernel parameter in the model, make the model more realistic, and reduce the time cost of artificial selection-parameter. Make use of the published three groups of software failure data to verify this proposed model, the result shows that, compared with the former LSSVM model, the ASSA -LSSVM model can achieve better fitting results.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Dan Yang AU - Lie Zang AU - Lu Gan PY - 2015/12 DA - 2015/12 TI - Research on LSSVM based on analytic selection and simulate anneal arithmetic BT - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015 PB - Atlantis Press SP - 964 EP - 970 SN - 2352-538X UR - https://doi.org/10.2991/icmmcce-15.2015.208 DO - https://doi.org/10.2991/icmmcce-15.2015.208 ID - Yang2015/12 ER -