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Study on Method of Forecasting of Construction Safety Based on Rough Set and Support Vector Machine

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5 Author(s)
Shu-Quan Li ; Tianjin Univ. of Finance & Econ., Tianjin ; Liang-Ying Zhao ; Yna-Jie Dou ; Kun Hou
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This paper combines the rough set (RS) theory and support vector machine (SVM), and making best use of the attribute reduction characteristic of RS theory catches the main attribute of the research subjects, and it uses SVM to make prediction model, and applies this method to construction safety pre-warning. The experiment results show that the method is viable, which makes a useful exploration research for the method of construction safety pre-warning.

Published in:

2008 4th International Conference on Wireless Communications, Networking and Mobile Computing

Date of Conference:

12-14 Oct. 2008