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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 被引量:5

A comparative study of ANN-based and ANFIS-based approaches for inverse design of circular failure slopes
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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{γ,c,φ,H,F}到{?f}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。 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 { y, c, Ф, H, F} to {φt }. 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.
出处 《岩土力学》 EI CAS CSCD 北大核心 2006年第1期159-162,共4页 Rock and Soil Mechanics
基金 国家自然科学基金资助项目(No.50274043) 湖南省自然科学基金重点资助项目(No.01JJY1004) 湖南省教育厅重点资助项目(No.01A015)
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 artificial neural networks adaptive neuro-fuzzy inference system circular failure slope inverse design
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