ON THE PREDICTION OF CHAOTIC DYNAMICS WITH ARTIFICIAL INTELLIGENCE TECHNIQUES
Because of sensitive dependence on initial conditions (SDIC), characteristic to chaotic systems, the predictionof such system can be made with an accepted accuracy only for relatively small number of steps ahead. Using artificialtechniques like neural networks and support vector machine to predict c...
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Academica Brâncuşi
2012-12-01
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Series: | Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie |
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Online Access: | http://www.utgjiu.ro/revista/ec/pdf/2012-04.I/16_CIOBANU%20Dumitru.pdf |
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doaj-db81911fe393480b96883e9e9a503e2b2020-11-25T01:12:45ZengAcademica BrâncuşiAnalele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie 1844-70072012-12-014.I4.I106111ON THE PREDICTION OF CHAOTIC DYNAMICS WITH ARTIFICIAL INTELLIGENCE TECHNIQUESCIOBANU DUMITRUBecause of sensitive dependence on initial conditions (SDIC), characteristic to chaotic systems, the predictionof such system can be made with an accepted accuracy only for relatively small number of steps ahead. Using artificialtechniques like neural networks and support vector machine to predict chaotic dynamics present advantages overtraditional methods and usually they offers better results. In this paper, I highlight some of these advantages.http://www.utgjiu.ro/revista/ec/pdf/2012-04.I/16_CIOBANU%20Dumitru.pdfChaos TheoryArtificial IntelligenceTime SeriesExchange rate |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
CIOBANU DUMITRU |
spellingShingle |
CIOBANU DUMITRU ON THE PREDICTION OF CHAOTIC DYNAMICS WITH ARTIFICIAL INTELLIGENCE TECHNIQUES Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie Chaos Theory Artificial Intelligence Time Series Exchange rate |
author_facet |
CIOBANU DUMITRU |
author_sort |
CIOBANU DUMITRU |
title |
ON THE PREDICTION OF CHAOTIC DYNAMICS WITH ARTIFICIAL INTELLIGENCE TECHNIQUES |
title_short |
ON THE PREDICTION OF CHAOTIC DYNAMICS WITH ARTIFICIAL INTELLIGENCE TECHNIQUES |
title_full |
ON THE PREDICTION OF CHAOTIC DYNAMICS WITH ARTIFICIAL INTELLIGENCE TECHNIQUES |
title_fullStr |
ON THE PREDICTION OF CHAOTIC DYNAMICS WITH ARTIFICIAL INTELLIGENCE TECHNIQUES |
title_full_unstemmed |
ON THE PREDICTION OF CHAOTIC DYNAMICS WITH ARTIFICIAL INTELLIGENCE TECHNIQUES |
title_sort |
on the prediction of chaotic dynamics with artificial intelligence techniques |
publisher |
Academica Brâncuşi |
series |
Analele Universităţii Constantin Brâncuşi din Târgu Jiu : Seria Economie |
issn |
1844-7007 |
publishDate |
2012-12-01 |
description |
Because of sensitive dependence on initial conditions (SDIC), characteristic to chaotic systems, the predictionof such system can be made with an accepted accuracy only for relatively small number of steps ahead. Using artificialtechniques like neural networks and support vector machine to predict chaotic dynamics present advantages overtraditional methods and usually they offers better results. In this paper, I highlight some of these advantages. |
topic |
Chaos Theory Artificial Intelligence Time Series Exchange rate |
url |
http://www.utgjiu.ro/revista/ec/pdf/2012-04.I/16_CIOBANU%20Dumitru.pdf |
work_keys_str_mv |
AT ciobanudumitru onthepredictionofchaoticdynamicswithartificialintelligencetechniques |
_version_ |
1725165110923624448 |