摘要
影响边坡稳定的因素复杂且具有随机和模糊特性。神经网络的性能特征使其适用于解决非确定性的边坡稳定性评价问题。本文建立了边坡稳定性评价的复合神经网络模型，并利用边坡工程的失稳及稳定实例对网络进行训练和测试。计算分析表明，网络模型对于评价边坡的稳定性有较好的适用性。
The factors, whick control and affect a slope stability, are random and fuzzy variables.Neural network is suitably used to solve the uncortain problems, such as the estimation of slope stability The compound neural network model is developed in the paper for the estimation of slope stability, and the cases of stable and failure slope are used to train and exam the network According to the computing and analyses. the neural network is practical for the estimation of slope stability, and maybe provide more useful information for the evaluation.
出处
《水文地质工程地质》
CAS
CSCD
1997年第1期11-13,共3页
Hydrogeology & Engineering Geology
基金
中国科学院工程地质开放试验室基金
关键词
神经网络
边坡
稳定性
neural network, slope engineering, estimation of slope stability
