%0 Journal Article
%T Grid method of data clustering based on RBF neural networks<br>基于RBF神经网络的网格数据聚类方法
%A PAN Deng
%A ZHENG Ying-ping
%A XU Li-hong
%A CHEN Jun
%A <br>潘登
%A 郑应平
%A 徐立鸿
%A 陈俊
%J 计算机应用
%D 2007
%I 
%X Radial Basis Function (RBF) neural networks and grid partition were integrated into a whole in this paper, and an intelligent method of data clustering was proposed, which can process the data in parallel and make increments computation easy. This paper introduced the principle of grid clustering, and the choice of basis functions and the neurons number in RBF neural networks. And then, the clustering strategy and the clustering algorithm were deeply discussed with its aims to identify the locations of data clustering area, and to improve the resolution of data clustering area, and to accelerate the computing. The simulation verifies the validity of this method.
%K Radial Basis Function (RBF) neural networks
%K cuboid basis function
%K grid partition
%K clustering
%K resolution
%K method<br>径向基函数神经网络
%K 长方体基函数
%K 网格划分
%K 聚类
%K 分辨率
%K 方法
%K 神经网络
%K 网格数据
%K 聚类方法
%K RBF
%K neural
%K networks
%K based
%K clustering
%K data
%K method
%K of
%K 有效性
%K 仿真
%K 聚类算法
%K 策略
%K 问题
%K 计算速度
%K 提高分辨率
%K 辨识
%K 位置
%K 区域
%K 数据聚集
%K 的选择
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD2743051272BB3878037E8DA4&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=0B39A22176CE99FB&sid=CF6CB42CFF3D4C4E&eid=50EA2A80A7D254EF&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=12