ANFIS和ANN在圆弧滑动边坡稳定性分析中的应用研究  

Applied study of adaptive neuro-fussy inference system and artificial neural network in the circular sliding slopes stability analysis

作　　者：李旭[1] 丁德馨[1] 张志军[1] 

机构地区：[1]南华大学建筑工程与资源环境学院,湖南衡阳421001

出　　处：《露天采矿技术》2006年第1期29-31,35,共4页Opencast Mining Technology

摘　　要：影响边坡稳定性的因素复杂,且在力学上多表现为随机模糊性。ANN和ANFIS的性能特征使其适于进行非确定性的边坡稳定性问题的评判。从各自的基本原理出发,集成学习训练样本,构建神经网络和自适应神经模糊推理方法,通过训练和测试来检验其可靠性和适用性,并将得出的结果与工程现状进行对照。最后将其应用于4个边坡检验样本,并比较研究两者的准确性。研究说明ANN和ANFIS在边坡稳定性预测中的有效性和适用性。The factors that affect the slope stability are complicated and uncertain,random,fussy variable in point of mechanics.The capabilities and characteristics of ANN and ANFIS enable them to be used suitably to estimation of slope stability .Their models are developed in this paper for the circular sliding slopes stability analysis and some training samples are applied to train and exam the networks. The comparative research shows their validity and applicability for evaluation.

关 键 词：ANN ANFIS 圆弧滑动边坡 稳定性分析 比较研究 

分 类 号：TD824.7[矿业工程—煤矿开采]