摘要
根据神经网络法的基本原理 ,结合 38个实际边坡工程稳定实例 ,应用VB5 .0可视化编程语言 ,建立了边坡稳定性的神经网络预测模型 ,并运用该模型对部分边坡工程的稳定性进行预测 ,预测结果与边坡实际稳定状态相吻合 。
Based on the basic principle of neural network and the practical data of 38 slopes, this paper puts forward a prediction model of neural network of the slope stability by means of visual basic 5.0 programming language. Meanwhile, a prediction for the stability of some slopes has been carried out using the predicting model. It is found out that the predicating results coincide with the practical stability states of those slopes, which shows that it is very effective using the neural network method for the predication of landslides.
出处
《地质与勘探》
CAS
CSCD
北大核心
2001年第6期72-75,共4页
Geology and Exploration
