Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-11)

Forecasting seasonal time series with computational intelligence: contribution of a combination of distinct methods.

Authors
Martin Stepnicka, Juan Peralta Donate, Paulo Cortez, Lenka Vavríková, German Gutierrez
Corresponding Author
Martin Stepnicka
Available Online August 2011.
DOI
https://doi.org/10.2991/eusflat.2011.7How to use a DOI?
Keywords
Time series, Computational intelligence, Neural networks, Support vector machine, Fuzzy rules, Genetic algorithm
Abstract
Accurate time series forecasting are important for displaying the manner in which the past continues to affect the future and for planning our day to day activities. In recent years, a large literature has evolved on the use of computational intelligence in many forecasting applications. In this paper, several computational intelligence techniques (genetic algorithms, neural networks, support vector machine, fuzzy rules) are combined in a distinct way to forecast a set of referenced time series. Forecasting performance is compared to the a standard and method frequently used in practice.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2011
ISBN
978-90-78677-00-0
DOI
https://doi.org/10.2991/eusflat.2011.7How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Martin Stepnicka
AU  - Juan Peralta Donate
AU  - Paulo Cortez
AU  - Lenka Vavríková
AU  - German Gutierrez
PY  - 2011/08
DA  - 2011/08
TI  - Forecasting seasonal time series with computational intelligence: contribution of a combination of distinct methods.
BT  - Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology
PB  - Atlantis Press
SP  - 464
EP  - 471
UR  - https://doi.org/10.2991/eusflat.2011.7
DO  - https://doi.org/10.2991/eusflat.2011.7
ID  - Stepnicka2011/08
ER  -