Construction safety risk assessment method of construction engineering based on improved SVM

被引:0
|
作者
Yin Q. [1 ]
Zhou J. [2 ]
Zhou Y. [1 ]
Li Z.-P. [1 ]
机构
[1] Hunan Engineering Research Center of Structural Safety and Disaster Prevention for Urban Underground Infrastructure, Hunan City University, Yiyang
[2] Hunan Chemical Geological Engineering Investigation Co., Ltd., Changsha
关键词
architectural engineering; Cauchy function; construction safety risk; particle swarm optimisation algorithm; risk assessment; SVM;
D O I
10.1504/IJSD.2023.134411
中图分类号
学科分类号
摘要
In this study, SVM was improved to complete the design of a building safety risk assessment method. This method selects the index to design the scientific evaluation system and completes the calculation of the index weight. Then, the support vector machine is improved and optimised. The judgement matrix is established according to the nine-level scale method, and it is standardised as the input of SVM, and the building safety risk assessment grade is output through the optimal hyperplane classification. The results show that the generalisation error of this method is between 0.034 and 0.053, and the evaluation time is between 1.5 h and 2.5 h, which can better evaluate the safety risk of engineering construction. © 2023 Inderscience Enterprises Ltd.. All rights reserved.
引用
收藏
页码:329 / 343
页数:14
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