%0 Journal Article
%T Blood cell''''s classification based on single-output artificial neural network<br>基于单输出型神经网络的血细胞分类研究
%A BI Feng
%A <br>毕峰
%J 计算机应用
%D 2007
%I 
%X The blood cell's characteristic parameters that have been obtained previously were processed with both BP Neural Network and Single-output Neural Network in order to classify the blood cells automatically. Compared with the BP Neural Network, the Single-output Neural Network is affirmed with more effective result due to a few advantages such as simpler design, faster convergence speed, higher accuracy of recognition and better robustness.
%K pattern recognition
%K artificial neural network
%K classifier<br>模式识别
%K 神经网络
%K 分类器
%K 输出型
%K 神经网络
%K 血细胞
%K 分类研究
%K cell
%K Blood
%K artificial
%K neural
%K network
%K based
%K 效果
%K 应用
%K 识别精度
%K 收敛速度
%K 网络分类器
%K 分类识别
%K 自动
%K 设计
%K 计算
%K 特征参数
%K 利用
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=14E16CBD2743051250AA90A4F6586C19&yid=A732AF04DDA03BB3&vid=DB817633AA4F79B9&iid=B31275AF3241DB2D&sid=B67AA60AE93E3CE8&eid=D56713C22DA9FDE8&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=6