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圆弧破坏边坡反演设计的ANN方法与ANFIS方法的比较研究
引用本文:张志军,熊正为,丁德馨,毕忠伟.圆弧破坏边坡反演设计的ANN方法与ANFIS方法的比较研究[J].岩土力学,2006,27(1):159-162.
作者姓名:张志军  熊正为  丁德馨  毕忠伟
作者单位:1.中南大学 资源与安全工程学院,长沙 410083;2.南华大学 建筑工程与资源环境学院,湖南 衡阳 421001
基金项目:中国科学院资助项目;浙江省湖州市自然科学基金;湖南省教育厅科研项目
摘    要:圆弧破坏边坡反演设计方法,是根据边坡的岩土力学参数及边坡高度,在确保安全系数满足要求的前提下,对圆弧破坏边坡的边坡角进行设计的一种新方法。建立圆弧破坏边坡反演设计方法的关键,就是要对大量稳定圆弧破坏边坡实例加以集成,以建立从{ , c, , H, F}到 的映射。文中收集了大量稳定圆弧破坏边坡实例,采用ANN和ANFIS对其进行了集成,分别建立了圆弧破坏边坡反演设计的ANN方法和ANFIS方法,进而又采用圆弧破坏边坡实例对两者的反演结果进行了比较。结果表明,ANFIS更适合于用来建立圆弧破坏边坡反演设计方法。

关 键 词:人工神经网络  自适应神经模糊推理系统  圆弧破坏边坡  反演设计  
文章编号:1000-7598-(2006)01-0159-04
收稿时间:2004-10-17
修稿时间:2004-10-17

A comparative study of ANN-based and ANFIS-based approaches for inverse design of circular failure slopes
ZHANG Zhi-jun,XIONG Zheng-wei,DING De-xin,BI Zhong-wei.A comparative study of ANN-based and ANFIS-based approaches for inverse design of circular failure slopes[J].Rock and Soil Mechanics,2006,27(1):159-162.
Authors:ZHANG Zhi-jun  XIONG Zheng-wei  DING De-xin  BI Zhong-wei
Institution:1.School of Resources and Safety Engineering, Central South University, Changsha 410083, China; 2. School of Architecture Resources & Environment Engineering, Nanhua University, Hengyang 421001, China
Abstract:The inverse design method for circular failure slope is a new kind of design approach for designing the slope angle of the circular failure slope based on its geotechnical parameters and height and the prescribed factor of safety. The key procedure for establishing the method is to integrate a large number of cases of stable circular failure slopes and to establish the mapping from {?, c, ?, H, F} to . This paper accumulated quite a few cases of circular failure slopes. ANN and ANFIS were used to integrate these cases and ANN-based and ANFIS-based approaches were established, respectively, for the inverse design of circular failure slope. Furthermore, the two approaches were used to design the slope angles of several cases and a comparison was conducted on the inverse design results. The research results have shown that ANFIS is more adequate to establish the ANFIS-based approach for the inverse design of circular failure slope.
Keywords:artificial neural networks  adaptive neuro-fuzzy inference system  circular failure slope  inverse design
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