Kontaktujte nás | Jazyk: čeština English
Název: | Evolutionary identification and synthesis of predictive models |
Autor: | Zelinka, Ivan; Skanderová, Lenka; Chadli, Mohammed; Brandejský, Tomáš; Šenkeřík, Roman |
Typ dokumentu: | Článek ve sborníku (English) |
Zdrojový dok.: | Advances in Intelligent Systems and Computing. 2013, vol. 192 AISC, p. 261-272 |
ISSN: | 2194-5357 (Sherpa/RoMEO, JCR) |
ISBN: | 978-3-642-33226-5 |
DOI: | https://doi.org/10.1007/978-3-642-33227-2_27 |
Abstrakt: | In this contribution is demonstrated use of two evolutionary algorithms on parameter identification of selected predictive models. Both algorithms were used to indentify parameter of pre-selected ARMA models. At the end are discussed possibilities of use of synthesis of predictive models by means of methods of symbolic regression that has successfully been used on chaotic system identification by means of evolutionary algorithms on measured data. © 2013 Springer-Verlag. |
Plný text: | https://link.springer.com/chapter/10.1007/978-3-642-33227-2_27 |
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