基于神经网络模型的岩石边坡稳定性分析研究

摘要

The learning formula of BP network was deduced in detail and the neural network model for rock slope stability analysis was established. 22 samples were taken to train the model and 4 samples were forecasted. TheResults showed that it was feasible to analyze slope stability with neural network.%对BP网的学习公式进行了详细推导,建立了岩石边坡稳定性分析的神经网络模型,并用22个样本对其进行了训练,预测了4个样本.结果表明,神经网络用于边坡稳定性分析是可行的.