%0 Journal Article
%T Flexible self-learning model based on granular computing<br>一种可伸缩的粒计算知识获取方法
%A WEI Ting
%A WU Yu
%A LI Yin-guo
%A <br>卫婷
%A 吴渝
%A 李银国
%J 计算机应用
%D 2007
%I 
%X Aiming at the problem of main memory limit when Granular Computing algorithm processes mass data sets, a concept of Granular Distribution List (GDL) was put forward based on the analysis of the hierarchical granular model of information table, and a Granular Computing algorithm was improved by using this list. Experiments demonstrated the revised algorithm can process mass datasets directly without influencing the validity of the original algorithm.
%K granular computing
%K granular distribution list
%K mass data
%K flexibility<br>粒计算
%K 粒分布链表
%K 海量数据
%K 可伸缩性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=0B1F89730999B1302E43D4AA7FCCACB4&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=9CF7A0430CBB2DFD&sid=035EA5881F0D26F4&eid=25A34FD11ADF8B56&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=6