| 边坡抗震稳定性分析的神经网络法 |
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| 引用本文： | 刘义建,刘勇健.边坡抗震稳定性分析的神经网络法[J].勘察科学技术,2002(5):12-15. |
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| 作者姓名： | 刘义建 刘勇健 |
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| 作者单位： | 1. 湖南省地勘局407队,湖南·怀化,418000
2. 广东工业大学,广州市,510500 |
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| 摘 要： | 从人工神经网络的基本原理出发 ,建立了边坡稳定性分析的人工神经网络模型。选择四川和云南地区的 70个边坡实例作为学习样本 ,对BP算法进行了学习和检验。计算表明 ,BP网络性能良好 ,所建立的模型预测精度高 ,具有一定的工程实用价值
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| 关 键 词： | 人工神经网络 BP模型网络 边坡稳定性 |
| 修稿时间： | 2002年1月14日 |
A METHOD FOR EVALUATION OF SLOPE STABILITY ON THE BASIS OF NEURAL NETWORK |
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| Liu Yijian.A METHOD FOR EVALUATION OF SLOPE STABILITY ON THE BASIS OF NEURAL NETWORK[J].Site Investigation Science and Technology,2002(5):12-15. |
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| Authors: | Liu Yijian |
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| Affiliation: | Liu Yijian (407 Brigade of Geotechnical Investigation Bureau of Hunan Province) Liu Yongjian (Guangdong Industrial University) |
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| Abstract: | Based on the basic principle of artificial neural network, the model of artificial neural network(ANN) for the evaluation of slope stability is established The BP algorithm adopted in the paper is studied and tested by choosing practical examples of 70 slopes in Sichuang and Yunnan regions as studying samples It is proved that the performance of back-propagation(BP) network is advanced and the prediction model is of high accuracy, and useful in practice |
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| Keywords: | artificial neural network BP model network slope stability |
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