GA-BP神经网络应用于边坡稳定性预测

摘要

For improving the prediction accuracy of slope stability,the paper optimized the weights and threshold of neural network by BP genetic algorithm and established GA-BP model.The measured data of slope stability shows that the prediction accuracy of GA-BP model is improved.%为了提高边坡稳定性预测精度,本文引入遗传算法对BP网络的权阈值进行优化,建立GA-BP模型,并利用边坡稳定性的实测数据进行验证,通过数据的对比分析,表明GA-BP模型在预测精度上有很大的提高。