文章基本信息

标题：ON THE PREDICTION OF CHAOTIC DYNAMICS WITH ARTIFICIAL INTELLIGENCE TECHNIQUES
本地全文：下载
作者：CIOBANU DUMITRU
期刊名称：Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie
印刷版ISSN：1844-7007
出版年度：2012
期号：4
页码：106-111
语种：English
出版社：Academica Brâncuşi
摘要：Because of sensitive dependence on initial conditions (SDIC),characteristic to chaotic systems,the prediction of such system can be made with an accepted accuracy only for relatively small number of steps ahead.Using artificial techniques like neural networks and support vector machine to predict chaotic dynamics present advantages over traditional methods and usually they offers better results.In this paper,I highlight some of these advantages.
关键词：Chaos Theory;Artificial Intelligence;Time Series;Exchange rate.