摘要
基于工程实例，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评价指标（离散型指标）和斜坡的几何与力学参数为评价指标（连续型指标）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．
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.
出处
《灾害学》
CSCD
1998年第4期7-11,共5页
Journal of Catastrophology
