%0 Journal Article
%T Shift Invariant Visual Pattern Learning and Recognition<br>位移不变的视觉模式在线学习和识别
%A Shen Shi
%A Wang Zhengzhi
%A Hu Dewen
%A Zhou Zongtan
%A <br>沈实
%A 王正志
%A 胡德文
%A 周宗潭
%J 自动化学报
%D 1997
%I 
%X This paper outlines a self organizing neural network model,called ART Cognizer,that automatically learns to classify visual patterns into recognition categories.It has the ability of tolerance to shift and scale variance of paterns,and the ability of self stabilizing the self organizing learning process,hence it can learn new patterns on line without degrading its corpus of memories.
%K Visual pattern recognition
%K neocognitron
%K adaptive resonance theory<br>视觉模式识别
%K 新认知机
%K 模式学习
%K 模式识别
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=7F17A73C485CA42C24DEA54F57CEC0F0&yid=5370399DC954B911&vid=EA389574707BDED3&iid=0B39A22176CE99FB&sid=7979125BBE749348&eid=B4E8EA49DAAEB84F&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=0