Risk Management of Building Engineering Based on SVM

Qing Jie Liu; Qi Li Su

doi:10.4028/www.scientific.net/AMR.529.347

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 529Risk Management of Building Engineering Based on...

Risk Management of Building Engineering Based on SVM

Abstract:

As the rapid development of China’s national economy, China’s construction industry shows a rapid growth. Because construct project has the feature of large investment and long construction time, there are many unforeseen factors in the construction process. The project participants may face many risks. This paper firstly analyses risk factors of construction project, secondly describes the mathematical models—SVM, and then on the basis of the method builds the model of construction project risk prediction. Lastly it uses example to prove the feasibility of the model, and it also provides an effective method for the construction project risk management.

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Periodical:

Advanced Materials Research (Volume 529)

Pages:

347-351

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.529.347

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Online since:

June 2012

Authors:

Qing Jie Liu, Qi Li Su

Keywords:

Building Engineering, Risk Management (RM), Risk Prediction, Support Vector Machine (SVM)

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References

[1] Li Fan, Qian Xing-san. Risk assessment model for college capital construction based on AHP-FCE, Research and Application of Building Materials. Vol. 1 (2009), pp.41-44.

Google Scholar

[2] Shang Hong-yan, Dong Qian-li, Wang Xu-ping, Liu Xiao-dong. Risk evaluation and early warning for hazardous material transportation based on fuzzy AHP, Journal of Chang'an University (Social Science Edition). Vol. 11 (2009), pp.21-27.

Google Scholar

[3] Jin-pei Wu, De-shan Sun, Modern Data Analysis, China Machine Press, Beijing, (2006).

Google Scholar

[4] Zhang Xue-jun, Chen Gang, Zhou Jie, Ma Ai-jun, etc. Medium and long-term load forecast based on PSO-RSVR, Power System Protection and Control. Vol. 37(2009), pp.77-81.

Google Scholar

[5] Saaty T L. Highlights and critical points in the theory and application of the Analytic Hierarchy Process, Journal of European Journal of Operational research. Vol. 74(1994), pp.426-447.

DOI: 10.1016/0377-2217(94)90222-4

Google Scholar

[6] Yang Zhen-lin, Liu Jin-lan. Study of special equipment's risk evaluation based on AHP, Presseure Vessel. Vol. 190(2008), pp.28-33.

Google Scholar

[7] Wang Ying, Ma Li-yuan, Yu Yao, Wang Hong-rui. Discussion on risk evaluation modeling of water resource, Sourth-to-North Water Transfers and Water Science & Technology. Vol. 8 (2010), pp.69-72.

Google Scholar