%0 Journal Article
%T Covering framework and primary direction neural network<br>覆盖框架与主方向神经网络
%A YIN Wei-dong
%A <br>殷维栋
%J 计算机应用
%D 2008
%I 
%X Some widely used artificial neural networks such as BP, RBF and ARTMAP were discussed on the common points they shared when solving nonlinear regression problems. A framework, proposed accordingly, suggested that such problems should be implemented in two steps: sample covering and model-based map regression. This idea stems from two aspects, i.e. simulation of human brain's information processing and Biometric Pattern Recognition (BPR). As an instance, a new network named as Primary Direction Neural Networ...
%K Mahalanobis distance
%K primary direction
%K RBF neural network
%K biometric pattern recognition
%K covering framework<br>RBF神经网络
%K 仿生模式识别
%K 覆盖框架
%K 马氏距离
%K 主方向
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=D9DD2D8A8AF30667666D9E9825CC9607&yid=67289AFF6305E306&vid=D3E34374A0D77D7F&iid=5D311CA918CA9A03&sid=736738473FF7E908&eid=C50D3A5A67C234D1&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=18