摘要
利用模糊聚类分析方法将边坡进行安全等级分类,对于边坡的治理是一种有效的方法。传统的聚类是一种局部搜索方法,易陷入极小值。遗传算法(GA)是一种应用广泛的全局寻优算法,将其与FCM算法进行结合,更准确地进行分类。
It is an effective way of slop management to classify the safety level of slop based on the fuzzy clustering analysis method. The traditional clustering is a kind of local search method,easily falling into the local extreme values. Genetic algorithm（ GA）,as a searching optimal solution algorithm in whole solution space,has been widely applied to many fields. To improve more accurate classification,an approach based on FCM algorithm and genetic algorithm was proposed in this paper.
出处
《北方交通》
2015年第2期63-65,共3页
Northern Communications
关键词
FCM聚类算法
遗传算法
边坡监测
FCM clustering algorithm
Genetic algorithm
Slope monitoring
