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斜坡稳定性评估神经网络专家系统N^2ES^3E
引用本文:夏元友,朱瑞赓.斜坡稳定性评估神经网络专家系统N^2ES^3E[J].灾害学,1998,13(4):7-11.
作者姓名:夏元友  朱瑞赓
作者单位:武汉工业大学土木工程与建筑学院!武汉,430070,武汉工业大学土木工程与建筑学院!武汉,430070
摘    要:在于工程实列,采用神经网络理论,建立了斜坡稳定性评估分支结构专家系统,并针对斜坡评价的不同阶段,分别建立了以地质信息为3指标和斜坡的几何与力学参数为评价指标的两种评估系统。文中阐述了该系统的开发设想,介绍了系统的主要组成部分,同时给出了应用实例,应用结果表明该系统是有效的。

关 键 词:专家系统  神经网络  BP模型  边坡稳定  滑坡

A NEURAL-NETWORK-BASED EXPERT SYSTEM FOR SLOPE STABILITY EVALUATION
Xia Yuanyou ,Zhu Ruigeng.A NEURAL-NETWORK-BASED EXPERT SYSTEM FOR SLOPE STABILITY EVALUATION[J].Journal of Catastrophology,1998,13(4):7-11.
Authors:Xia Yuanyou  Zhu Ruigeng
Abstract:Based on engineering examples, the paper uses BP models of artificial neural networks to construct an expert system (N2ES3E) which can be used to estimate slope stability. N2ES3E consists of two kinds BP models in which geological information (binary variables) and geometrical and mechanical parameters of slope (continuum variables) are used as evaluation indexes. The paper illustrates the design thought of the system and introduces its main components. Finally, the examples of its application are presented. The results of the application show that the system is effective.
Keywords:Expert system  Neural network  BP model  Slope stability
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