CAJ | 학술논문

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。
결합조조집이론여K균치산법,제출일충조조K균치다파점중심우화방법,통과조성거제、다파점구역식별、파점중심계산삼개보취획취다개파점중심적최우좌표。최후,재방진교량상진행검험,결과현시기정도위74.5%,상관계수위0.290,설명해방법구유일정적준학성여로봉성。
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.