模糊神经网络案例检索法在边坡稳定评估中的应用  

A Case Retrieving Method of Case-based Reasoning Using Fuzzy Neural Network and Its Application in Slope Stability Evaluation

作　　者：李梅[1] 夏元友[2] 

机构地区：[1]武汉理工大学资源与环境工程学院,武汉430070 [2]武汉理工大学土木工程与建筑学院,武汉430070

出　　处：《武汉理工大学学报》2008年第11期136-139,共4页Journal of Wuhan University of Technology

基　　金：国家自然科学基金(50774058);教育部科学技术研究重点项目(104135)

摘　　要：探讨了基于案例推理技术的边坡稳定性评价系统的检索模型,运用模糊神经网络方法对边坡案例进行检索,按边坡性质或破坏类别,将其分成不同的典型案例子库,使其在相应的典型案例子库中检索,可缩小案例检索空间,减少检索时间。运用边坡工程实例对检索模型进行了验证,效果良好。结果表明,模糊神经网络检索方法可提高检索效率和质量。将实例应用结果与同等条件下欧式距离的检索结果比较,说明此方法合理有效,具有明显的优越性。Case-based reasoning technique is one of artificial intelligence methods which raising recently. This paper study retrieving model of slope stability evaluation system based on case-based reasoning. Fuzzy neural network method is used to retrieve slope cases, according to property or failure style of slope, the different typical case sub-base is classified to retrieve corresponding typical case sub-base, for contracting case retrieving space and reducing retrieving time. Practical engineering slopes are applied to test the retrieving model system. Test results show that Fuzzy neural network method could raise retrieving efficiency and retrieving quality. By comparison with retrieving results of Euclidean distance in the same condition, it proved that this method has obvious advantage.

关 键 词：案例检索 模糊神经网络 案例推理 边坡 稳定性评估 

分 类 号：TU413.6[建筑科学—岩土工程]