Fuzzy-support vector machine geotechnical risk analysis method based on Bayesian network

doi:10.1007/s11629-018-5358-7

CORC > 成都山地灾害与环境研究所 > 中国科学院水利部成都山地灾害与环境研究所 > Journal of Mountain Science > Journal of Mountain Science-2019 > Vol16 No.8

	Fuzzy-support vector machine geotechnical risk analysis method based on Bayesian network
	Liu Yang; Zhang Jian-jing; Zhu Chong-hao; Xiang Bo; Wang Dong
刊名	JOURNAL OF MOUNTAIN SCIENCE
	2019
卷号	16 期号:8 页码:1975-1985
关键词	Geotechnical evaluation Overfitting problem Bayesian network Prior knowledge Fuzzy set theory Support vector machine
ISSN号	1672-6316
DOI	10.1007/s11629-018-5358-7
文献子类	Article
英文摘要	Machine learning method has been widely used in various geotechnical engineering risk analysis in recent years. However, the overfitting problem often occurs due to the small number of samples obtained in history. This paper proposes the Fuzzy- SVM (support vector machine) geotechnical engineering risk analysis method based on the Bayesian network. The proposed method utilizes the fuzzy set theory to build a Bayesian network to reflect prior knowledge, and utilizes the SVM to build a Bayesian network to reflect historical samples. Then a Bayesian network for evaluation is built in Bayesian estimation method by combining prior knowledge with historical samples. Taking seismic damage evaluation of slopes as an example, the steps of the method are stated in detail. The proposed method is used to evaluate the seismic damage of 96 slopes along roads in the area affected by the Wenchuan earthquake. The evaluation results show that the method can solve the overfitting problem, which often occurs if the machine learning methods are used to evaluate risk of geotechnical engineering, and the performance of the method is much better than that of the previous machine learning methods. Moreover, the proposed method can also effectively evaluate various geotechnical engineering risks in the absence of some influencing factors.
电子版国际标准刊号	1993-0321
语种	英语
WOS记录号	WOS:000478892900017
内容类型	期刊论文
源URL	[http://ir.imde.ac.cn/handle/131551/46563]
专题	Journal of Mountain Science_Journal of Mountain Science-2019_Vol16 No.8
推荐引用方式 GB/T 7714	Liu Yang,Zhang Jian-jing,Zhu Chong-hao,et al. Fuzzy-support vector machine geotechnical risk analysis method based on Bayesian network[J]. JOURNAL OF MOUNTAIN SCIENCE,2019,16(8):1975-1985.
APA	Liu Yang,Zhang Jian-jing,Zhu Chong-hao,Xiang Bo,&Wang Dong.(2019).Fuzzy-support vector machine geotechnical risk analysis method based on Bayesian network.JOURNAL OF MOUNTAIN SCIENCE,16(8),1975-1985.
MLA	Liu Yang,et al."Fuzzy-support vector machine geotechnical risk analysis method based on Bayesian network".JOURNAL OF MOUNTAIN SCIENCE 16.8(2019):1975-1985.