持续性
风险评估
支持向量机
可持续发展
风险分析(工程)
建筑工程
计算机科学
工程类
环境科学
土木工程
业务
人工智能
政治学
法学
生物
生态学
计算机安全
作者
Quan Yin,Junqing Zhou,Yi Zhou,Zhi ping Li
标识
DOI:10.1504/ijsd.2023.134411
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.
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