标题:基于ART2神经网络的动态ECG数据压缩算法
作者:李光林;吕维雪
作者机构:山东工业大学;浙江大学
通讯作者:Guanglin, L.
来源:中国生物医学工程学报
出版年:1997
卷:16
期:4
页码:359-366
关键词:ECG数据;数据压缩;神经网络;ART网络
摘要:ART2 was one of the ART (Adaptive Resonance Theory) based neural networks and suited to analog input signal patterns. Because the ART2 had the feature of good category recognition, high compression rate and high compression precision of the ECG could be reached by the algorithm. ART2 network could rapidly recognize the learned samples and the new unknown samples, thus improving the running speed and the data compression rate of the algorithm.
收录类别:EI
资源类型:期刊论文
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