The competitive selection of artificial neural network training sets using an arms race model

被引：0

作者：

Weller, P ^{[1
]}

Avraam, M ^{[1
]}

机构：

[1] City Univ London, Ctr Measurement & Informat Med, London EC1V 0HB, England

来源：

MELECON 2000: INFORMATION TECHNOLOGY AND ELECTROTECHNOLOGY FOR THE MEDITERRANEAN COUNTRIES, VOLS 1-3, PROCEEDINGS | 2000年

关键词：

artificial neural network; ANN; ECG classification; arms race; competitive systems;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The selection of artificial neural network training sets can be problematical in some situations. This paper presents a novel method of developing such datasets. Ideas from the arms race between competing superpowers are used to develop a robust technique for an artificial neural network training set selection. Two modules are used, one to selected candidates for the training set, the second to train an ANN on the selected dataset. The results of the learning process are used to modify the training set selection accordingly. An example to train an ANN for Electrocardiogram (ECG) classification is presented to demonstrate the concept.

引用

页码：465 / 468

页数：4