Study on Early Warning of Building Safety Based on SVM
Journal Title: Journal of Applied Quantitative Methods - Year 2006, Vol 1, Issue 2
Abstract
The building is important strut industry of our national economy. But the safety accidents in building domain occur frequently every year. The safety problem of building directly influences or even restricts the development of building industry. Support Vector Machine (SVM) is a kind of new machine learning method developed on the basis of statistical learning theory. This method based on the principle of structural risk minimization can solve the problem of overfitting effectively and has good generality capability and better classification accuracy. In this paper, the author applied this method in safety management of building and carried on the study of early warning system of building safety based on SVM. At last, we carried on the data experiment to this problem and proved that the method of SVM has good generality capability.
Authors and Affiliations
Li-Jun FENG, Shu-Quan LI
Keywords
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