| 基于模糊聚类BP 神经网络在边坡稳定性评价中的应用研究 |
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| 引用本文： | 周家祥,张晓亮.基于模糊聚类BP 神经网络在边坡稳定性评价中的应用研究[J].路基工程,2012,0(2):78-80. |
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| 作者姓名： | 周家祥 张晓亮 |
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| 作者单位： | 广东省路桥建设发展有限公司，广州 510635 |
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| 摘 要： | 利用边坡样本之间存在的相似性，采用模糊聚类分析方法对边坡样本进行分类，并根据择近原则将预测样本划归为贴近度最大的聚类模式，运用该模式对预测样本的稳定系数进行BP神经网络预测。通过实例证明了该方法的可靠性和有效性。
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| 关 键 词： | 模糊聚类 边坡稳定 BP神经网络 评价预测 |
| 收稿时间： | 2019-11-11 |
Research on Application of BP Neural Network Based on Fuzzy Clustering in Evaluation of Slope Stability |
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| Authors: | ZHOU Jia-xiang ZHANG Xiao-liang |
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| Institution: | (Guangdong Road ＆ Bridge Construction Development Co. , Ltd. , Guangzhou 510635, China) |
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| Abstract: | The slope samples＇ similarity is used to classify these samples by means of fuzzy clustering analysis and the sample for prediction is classified into the cluster pattern with maximum proximity according to the principle of closeness optimization; and then BP neural network based prediction is carried out against the stabilizing factor of the sample for prediction with this pattern. Thus the reliability and validity of this method is demonstrated by instance. |
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| Keywords: | fuzzy clustering slope stability BP neural network evaluation prediction |
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