陕西煤炭2012，Vol.31Issue(6)：69-71,3.
GA-BP神经网络应用于边坡稳定性预测
Application of optimized neural network to the prediction of slope stability
徐秋艳 1曹冬冬 2侯丽娜1
作者信息
- 1. 陕西省煤田地质局物探测量队,陕西西安710005
- 2. 长安大学地质工程与测绘学院,陕西西安710054
- 折叠
摘要
Abstract
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.关键词
BP神经网络/遗传算法/边坡稳定性/初始权阈值Key words
BP neural network/genetic algorithm/slope stability/initialized weights and threshold分类
信息技术与安全科学引用本文复制引用
徐秋艳,曹冬冬,侯丽娜..GA-BP神经网络应用于边坡稳定性预测[J].陕西煤炭,2012,31(6):69-71,3.
