| 基于遗传算法的FCM聚类分析在边坡稳定性评价中的应用 |
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| 引用本文： | 周选林,冯晓,钟明权,王清华.基于遗传算法的FCM聚类分析在边坡稳定性评价中的应用[J].路基工程,2014,0(1):1-4. |
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| 作者姓名： | 周选林 冯晓 钟明权 王清华 |
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| 作者单位： | 1.1重庆交通大学土木建筑学院，重庆 400074 |
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| 基金项目： | 国家自然科学基金项目（41071017） |
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| 摘 要： | FCM聚类分析在边坡稳定性评价研究中已得到广泛的应用，但传统的FCM算法存在着对初始聚类中心值敏感的问题。引入遗传算法来克服这个问题，提出了基于遗传算法的FCM聚类分析。以具体实例，采用基于遗传算法的FCM聚类分析对边坡进行稳定性评价，然后进行模式识别。研究结果表明:基于遗传算法的FCM聚类分析，克服了传统FCM聚类分析对初始聚类中心敏感的问题，其结果明显好于传统的FCM聚类分析。
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| 关 键 词： | 遗传算法 FCM聚类分析 边坡稳定性评价 |
| 收稿时间： | 2019-11-11 |
Application of FCM Clustering Analysis Based on Genetic Algorithm to Slopes Stability Evaluation |
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| Authors: | ZHOU Xuanlin FENG Xiao ZHONG Mingquan WANG Qinghua |
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| Institution: | 1. School of Civil Engineering, 2. Chongqing Traffic Planning, Chongqing Jiaotong University, Design and Research Institute, Chongqing 400074, China; Chongqing 401121, China) |
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| Abstract: | Analysis of FCM clustering has been widely used in evaluation of slopes stability, but the traditional FCM algorithm cannot resolve sensitive issues of its initial clustering center value. Thus genetic algorithm was introduced, which put forward the analysis of FCM clustering based on genetic algorithm. With concrete examples, this analysis method was applied to evaluate slope stability, and then pattern recognition was carried out. The study result shows that the analysis of FCM clustering based on genetic algorithm overcomes the issue of the sensitivity, and the result is much better than that of the traditional FCM clustering analysis. |
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| Keywords: | genetic algorithm FCM clustering analysis slope stability evaluation |
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