中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A function approximating model for rock based on the least square support vector machines

文献类型:期刊论文

作者Chen, Dongfang3; Chen, Bingrui1; Zhao, Xiaojun2; Zhao, Hongbo2
刊名DISASTER ADVANCES
出版日期2013
卷号6页码:350-355
关键词Rock material Constitutive model Least square method Support vector machines
ISSN号0974-262X
英文摘要A great deal of samples were needed for training an artificial neural network and making it become a good "implicit" model to describe expression mechanical property of rock material, while a small number of samples only were obtained usually in laboratory testing or practical engineering. So a function approximating model based on least squares support vector machines was proposed to solve the question above. The proposed model, which was verified by testing data of marble in Jinping II hydropower station, China, was not only a good approximation of the constitutive relation and had a satisfying predicted results and convergence velocity. The proposed model has generalization capability and can provide a reference for the application of numerical methods in rock environment engineering.
WOS研究方向Geology ; Meteorology & Atmospheric Sciences ; Water Resources
语种英语
WOS记录号WOS:000317246200046
出版者DISASTER ADVANCES
源URL[http://119.78.100.198/handle/2S6PX9GI/3432]  
专题岩土力学所知识全产出_期刊论文
国家重点实验室知识产出_期刊论文
作者单位1.Chinese Acad Sci, State Key Lab Geomech & Geotech Engn, Inst Rock & Soil Mech ;
2.Henan Polytech Univ, Sch Energy Sci & Engn;
3.Northeastern Univ, Sch Resources & Civil Engn
推荐引用方式
GB/T 7714
Chen, Dongfang,Chen, Bingrui,Zhao, Xiaojun,et al. A function approximating model for rock based on the least square support vector machines[J]. DISASTER ADVANCES,2013,6:350-355.
APA Chen, Dongfang,Chen, Bingrui,Zhao, Xiaojun,&Zhao, Hongbo.(2013).A function approximating model for rock based on the least square support vector machines.DISASTER ADVANCES,6,350-355.
MLA Chen, Dongfang,et al."A function approximating model for rock based on the least square support vector machines".DISASTER ADVANCES 6(2013):350-355.

入库方式: OAI收割

来源:武汉岩土力学研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。