Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)

Feasibility Assessment of Support Vector Regression Models with Immune Algorithms in Predicting Fatigue Life of Composites

Authors
Ping-Feng Pai 0, Wei-Chiang Hong, Feng-Min Lai, Jia-Hroung Wu, Shun-Lin Yang
Corresponding Author
Ping-Feng Pai
0Department of Information Management, National Chi Nan Unive
Available Online October 2006.
DOI
https://doi.org/10.2991/jcis.2006.86How to use a DOI?
Keywords
Support vector regression; immune algorithms; fatigue life prediction; composite materials
Abstract
Predicting fatigue life of composite materials is essential to increase reliability of manufacturing systems. The predicting techniques for fatigue life of composite materials are not widely investigated. The support vector regression (SVR) is an emerging forecasting technique and has been applied in many areas successfully. Therefore, this study attempts to examine the feasibility of SVR in predicting the fatigue life of composite materials. Additionally, immune algorithms (IA) are used to select three parameters of SVR models. An experimental data set from a laboratory was employed to depict the feasibility of develpoed SVRIA (support vector regression with immune algorithms) approach in predicting fatigue life of composite materials. Empirical results indicate that the SVRIA is a valid way in predicting fatigue life of composite materials.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2006.86How 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  - Ping-Feng Pai
AU  - Wei-Chiang Hong
AU  - Feng-Min Lai
AU  - Jia-Hroung Wu
AU  - Shun-Lin Yang
PY  - 2006/10
DA  - 2006/10
TI  - Feasibility Assessment of Support Vector Regression Models with Immune Algorithms in Predicting Fatigue Life of Composites
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.86
DO  - https://doi.org/10.2991/jcis.2006.86
ID  - Pai2006/10
ER  -