%0 Journal Article
%T Research on K-classification covering for PONN<br>优先排序神经网络K网覆盖分类研究
%A ZHU Shi-jiao
%A WANG Zheng
%A LIAO Ming-jun
%A <br>朱世交
%A 王真
%A 廖明军
%J 计算机应用
%D 2007
%I 
%X From the aspect of coverage in the High-Dimensional Space (HDS), we discussed algorithms of Priority Ordered Neural Network (PONN), and promoted K-Partitioning Algorithm (KPA) based on anisotropy in HDS. Benchmark testing and application were made on KPA as well as the comparison with Center Adaptive Selection Algorithm (CASA).The results of experiment prove that the constructive method of KPA is superior to CASA especially in continuous samples.
%K Priority Ordered Neural Network (PONN)
%K pattern recognition
%K topology space<br>优先排序神经网络
%K 模式识别
%K 拓扑空间
%K 优先排序
%K 神经网络
%K 覆盖算法
%K 分类研究
%K covering
%K 构造
%K 连续性
%K 样本
%K 比较结果
%K 实验
%K 分析
%K CASA
%K 选择算法
%K 适配
%K 中心
%K 非各向同性
%K 应用
%K 测试集
%K 标准
%K 优先度排序
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD27430512DBB3830208FFBCBA&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=0B39A22176CE99FB&sid=6C069F4B248105A5&eid=2E01F39B6CBD53DE&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=6