%0 Journal Article
%T AN INCOHERENT OPTOELECTRONIC HYBRID NEURAL NETWORK FOR FAST RECOGNITION OF MULTIPLEX 3-D TARGETS<br>用于多个三维目标快速识别的非相干光电混合神经网络系统
%A Sun Ying
%A Li Qing
%A Zhang Yanxin
%A Mu Guoguang
%A <br>孙颖
%A 李清
%J 红外与毫米波学报
%D 1995
%I Science Press
%X A fast incoherent optoelectronic hybrid neural network systenl is reported for pattern recognition of multiplex 3-D objects with error tolerance. In the first network, the positive and negative interconnections and parallel processing are used. A white-light source is used to replace He-Ne laser and a TFT liquid crystal display (LCD) panel is used as a real-time input device. In this system,coherent noise is eliminated, moreover,fast recognition and smaller size are realized.
%K cascaded model
%K linear combination algorithm
%K liquid crystal display (LCD)panel
%K incoherent system<br>三维目标
%K 快速识别
%K 光电混合
%K 神经网络
%K 非相干
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=D3B4F771D1A06062008B4D0A2EF05996&aid=D22B56EC752B76C4B9EC3C0EFB824A59&yid=BBCD5003575B2B5F&vid=F3583C8E78166B9E&iid=CA4FD0336C81A37A&sid=F4B561950EE1D31A&eid=987EDA49D8A7A635&journal_id=1001-9014&journal_name=红外与毫米波学报&referenced_num=1&reference_num=3