An algorithm of discovering approximate periodicity based on self-organizing map for temporal data

被引：1
作者：
Meng, Zhiqing [1 ]
Jiang, Hua [2 ]
Jiang, Min [1 ]
Liu, Yubao [3 ]
机构：
[1] Zhejiang Univ Technol, Coll Business & Adm, Hangzhou 310032, Zhejiang, Peoples R China
[2] Hunan First Normal Coll, Dept Comp, Changsha, Hunan, Peoples R China
[3] Sun Yat Sen Univ, Dept Comp Sci, Guangzhou, Guangdong, Peoples R China
来源：
FOURTH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, VOL 3, PROCEEDINGS | 2007年
关键词：
D O I：
10.1109/FSKD.2007.139
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This paper discusses an algorithm of discovering approximate periodicity for temporal data based on self-organizing map (SOM). First, an approximate periodic pattern based on the temporal type data is given. Then, some concepts of approximate precision and approximate periodic pattern mantle are introduced, where their relative properties are studied. Finally, an algorithm based on SOM to find approximate periodic pattern is proposed. Experiment results show that the proposed algorithm. is efficient for finding out approximate periodicity for irregularity data.
引用
收藏
页码：293 / +
页数：2
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