摘要
论述了BP神经网络的基本原理和算法,研究了MATLAB下的BP神经网络工具箱在边坡稳定性分析中的应用。采用影响边坡稳定性的复合指标,建立了BP预报模型。用收集到的边坡数据样本训练和测试BP神经网络模型,结果表明该BP神经网络预测边坡稳定性是可行的、有效的。
A depiction was made on the basis principle and algorithm of BP neural network. This paper discussed the application of BP neural network based on MATLAB to the slope stability analysis. The compound indices for affecting the stability of slopes were proposed, and a BP-model for prediction was set up. The collected data of slope stability were adapted to train and test the model. The forecasted results showed that the proposed method was feasible and effective in predicting slope stability.
出处
《建筑技术开发》
2011年第1期7-10,共4页
Building Technology Development
