Comparison of nolinear system prediction by artificial neural networks

被引：0

作者：

Samek, D.

机构：

来源：

ANNALS OF DAAAM FOR 2007 & PROCEEDINGS OF THE 18TH INTERNATIONAL DAAAM SYMPOSIUM: INTELLIGENT MANUFACTURING & AUTOMATION: FOCUS ON CREATIVITY, RESPONSIBILITY, AND ETHICS OF ENGINEERS | 2007年

关键词：

artificial neural networks; prediction; nonlinear system;

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 aim of this contribution is to provide short review of artificial neural networks that are able to predict dynamical systems. This paper deals with testing of predictive abilities of artificial neural networks. The nonlinear system output was selected as the testing signal. The signal was noised by three levels of noise in order to test the noise influence to prediction quality The results are compared using the prediction error function.

引用

页码：669 / 670

页数：2

共 6 条

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