Prediction of NOx Concentration Time Series Using the Chaos Theory

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F16%3A39900808" target="_blank" >RIV/00216275:25410/16:39900808 - isvavai.cz</a>
Result on the web
<a href="http://1url.cz/qtMOq" target="_blank" >http://1url.cz/qtMOq</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-29504-6_44" target="_blank" >10.1007/978-3-319-29504-6_44</a>

Result language
angličtina
Original language name
Prediction of NOx Concentration Time Series Using the Chaos Theory
Original language description
This paper is aimed at analysis of NOx concentration time series. At first we estimated the time delay and the embedding dimension, which is needed for the Lyapunov exponent estimation and for the phase reconstruction. Subsequently we computed the larger Lyapunov exponent, which is one of the important indicatos of chaos. Then we estimated the correlation dimension and Kolmogorov entropy. The resupt indicated that chaotic behaviours obviously exist in NOx concentration time series. Finally we computed predictions using a radial basis function and polynomials to fit global nonlinear functions to the data.
Czech name
—
Czech description
—

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the Second International Afro-European Conference for Industrial Advancement AECIA 2015
ISBN
978-3-319-29503-9
ISSN
2194-5357
e-ISSN
—
Number of pages
11
Pages from-to
465-475
Publisher name
Springer International Publishing AG
Place of publication
Cham
Event location
Villejuif
Event date
Sep 9, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000371912400044

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