Classification of ECG waveforms by using RCE neural network and genetic algorithms

被引：13

作者：

Olmez, T ^{[1
]}

机构：

[1] Istanbul Tech Univ, Fac Elect & Elect Engn, TR-80626 Istanbul, Turkey

来源：

ELECTRONICS LETTERS | 1997年 / 33卷 / 18期

关键词：

genetic algorithms; neural networks; pattern recognition;

D O I：

10.1049/el:19971019

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：

A modified restricted Coulomb energy (RCE) neural network is proposed for electrocardiogram (EGG) waveform classification. In the new algorithm, the locations of the centres of the hyperspheres are optimised in order to minimise the number of hyperspheres used and to improve classification performance. Optimisation is carried out with the genetic algorithm.

引用

页码：1561 / 1562

页数：2