%0 Journal Article
%T Programmable Hamming Neural Network Feature Extractor for Handwritten Digit Classification<br>一种用于手写体数字分类的可编程Hamming神经网络特征提取器
%A LI Guo-xing
%A SHI Bing-xue
%A <br>栗国星
%A 石秉学
%J 半导体学报
%D 2000
%I 
%X A smart current\|mode programmable local feature extractor for handwritten digi t classification is put forward based on the principle of Hamming neural network . The templates can be programmable and their contents can be refr eshed according to different situation, and the way of features merging is also r econfigurable so as to merge the different features into different feature class es. A prototype chip of the feature extractor has been implemented in 1.2 micron singl e poly, double metal digital CMOS technology and both the simulated and measured results prove that the extractor can realize the feature extraction well.
%K programmable
%K Hamming neural network
%K feature extracting
%K CMOS<br>可编程
%K Hamming神经网络
%K 特征提取
%K CMOS
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=1319827C0C74AAE8D654BEA21B7F54D3&jid=025C8057C4D37C4BA0041DC7DE7C758F&aid=08DC680BAF48AFEB&yid=9806D0D4EAA9BED3&vid=659D3B06EBF534A7&iid=9CF7A0430CBB2DFD&sid=CC5564FFEBD22614&eid=547650636788ED84&journal_id=1674-4926&journal_name=半导体学报&referenced_num=0&reference_num=8