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累积量测序列的区间云变换及识别

DOI: 10.13195/j.kzyjc.2014.0748, PP. 1345-1355

Keywords: 目标识别,云变换,序列数据,区间数

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Abstract:

目标多属性序列类数据不能直接与数据库中的区间类数据融合识别,对此,提出一种基于云变换的序列-区间异类数据识别算法.对目标多属性序列数据进行频数计算形成频率分布函数,并进行虚警检测,实施云变换形成云簇,提取云簇特征,再根据3En准则形成云滴区间,实现了序列型数据的区间化表示.进一步,利用一种区间多属性识别判定准则进行识别判定,得到识别结果,解决了序列-区间异类数据的识别问题.仿真实验结果验证了该算法对序列-区间异类数据识别的有效性.

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