摘要
传统GIS属性数据精度检测方法检测精度差,为了解决这一问题,基于微分进化算法研究了一种新的GIS属性数据精度检测方法,对地理信息系统属性数据进行分析,在控制回路检测法的基础上增加微分进化算法加以更新,通过预处理、种群分析、信息演变实现精度检测。为验证方法效果,设定对比实验,结果表明,基于微分进化算法的GIS属性数据精度检测方法检测精准度高于传统方法。
The traditional GIS attribute data accuracy detection method has poor detection accuracy.In order to solve this problem,a new GIS attribute data accuracy detection method is studied based on differential evolution algorithm.The GIS attribute data is analyzed and based on the control loop detection method differential evolution algorithms is added to update.Precision detection is achieved through preprocessing,population analysis,and information evolution.In order to detect the effect of the method,a comparative experiment is set up.The results show that the accuracy of the GIS attribute data detection method based on the differential evolution algorithm is higher than that of the traditional method.
作者
陈欣
刘文龙
卢海宏
CHEN Xin;LIU Wenlong;LU Haihong(The First Monitoring and Application Center,CEA,Tianjin 300180,China)
出处
《自动化与仪器仪表》
2020年第11期34-37,共4页
Automation & Instrumentation
基金
科技基础性工作专项资助项目(No.2015FY210400),地震科学数据共享项目课题“跨断层数据产品数据集”。
关键词
微分进化算法
GIS属性数据
数据精度
精度检测
differential evolution algorithm
GIS attribute data
data accuracy
accuracy detection
