One-pass training of optimal architecture auto-associative neural network for detecting ectopic beats

被引：31

作者：

Clifford, G ^{[1
]}

Tarassenko, L ^{[1
]}

Townsend, N ^{[1
]}

机构：

[1] Univ Oxford, Dept Engn Sci, Neural Networks Res Grp, Oxford OX1 3PJ, England

来源：

ELECTRONICS LETTERS | 2001年 / 37卷 / 18期

关键词：

Algorithms - Electrocardiography - Iterative methods - Matrix algebra - Principal component analysis;

D O I：

10.1049/el:20010762

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The authors have previously described a method for ectopic beat detection in the electrocardiogram using an auto-associative neural network. Here they present a method that utilises principal component analysis to optimse the complexity of the neural network and uses singular value decomposition to determine the initial values for the weights.

引用

页码：1126 / 1127

页数：2

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