摘要
结合粗糙集理论与K均值算法,提出一种粗糙K均值多靶点中心优化方法,通过噪声去除、多靶点区域识别、靶点中心计算三个步骤获取多个靶点中心的最优坐标。最后,在仿真桥梁上进行检验,结果显示其精度为74.5%,相关系数为0.290,说明该方法具有一定的准确性与鲁棒性。
The center coordinates of the multi-target optimization approach is the key to improving the accuracy of the digital measurement system and intelligent image system. Combining the rough set theory and the K-means algorithm, this paper proposed a multi-target optimization approach with the rough set theory. The optimized co- ordinate with a multi-target center was obtained by the noise removal, muhi-target region recognition and the target center calculation. Finally, we validated the method＇s performance on a simulation bridge. The results showed that the accuracy was 74.5%, the correlated coefficient was 0.290, indicating that this method satisfacto- rily met the requirement of accuracy and robustness.
出处
《苏州科技学院学报（工程技术版）》
CAS
2012年第3期76-80,共5页
Journal of Suzhou University of Science and Technology （Engineering and Technology）
基金
住房与城乡建设部科技项目(2009-K5-10)
苏州科技学院科研基金(2008Z1327)
关键词
粗糙K均值
多靶点
靶点中心
桥梁监测
rough K-means algorithm
multi-targets
targets center
bridge monitoring system
