摘要
研究气象信息电子采集系统中的错误数据准确排除优化问题。当前的气象信息电子采集设备中,对采集数据的校验能力不强,很难做到准确的分类和智能判断,缺少必要的错误信息剔除机制,给后期气象信息的操作带来困扰。为了避免上述缺陷,提出了一种用二次模糊聚类算法的气象信息电子采集系统中错误排除方法。并采用均值聚类方法,对气象信息进行初始分类。利用二次模糊聚类方法,对不同类别中的信息进行错误信息筛选,从而实现错误数据排除。实验结果表明,利用改进算法能够有效提高气象信息电子采集系统获取结果的准确性,为后期的气象信息操作提供了精确的数据基础。
In this paper,the accurate elimination of meteorological information and electronic data acquisition system errors were researched.We proposed an error exclusion method for meteorological information and electronic collection system in which a secondary fuzzy clustering algorithm using was applied.Furthermore,a means clustering method was used,and the initial classification of meteorological information was performed.The different categories of information in the error message were filtered using the secondary fuzzy clustering method,so that the erroneous data can be eliminated.The experimental results show that the algorithm can effectively improve the accuracy of the results obtained by meteorological information and electronic collection system.
出处
《计算机仿真》
CSCD
北大核心
2013年第8期346-349,355,共5页
Computer Simulation
关键词
气象信息
数据采集
错误数据排除
Meteorological information
Data acquisition
Wrong data elimination
