Effect of different detrending approaches on computational intelligence models of time series

Federico Montesino Pouzols; Amaury Lendasse

doi:10.1109/IJCNN.2010.5596314

Effect of different detrending approaches on computational intelligence models of time series

Federico Montesino Pouzols
, Amaury Lendasse

Aalto University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	9781424469178
DOIs	https://doi.org/10.1109/IJCNN.2010.5596314
State	Published - 2010
Externally published	Yes
Event	2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 - Barcelona, Spain Duration: Jul 18 2010 → Jul 23 2010

Publication series

Name	Proceedings of the International Joint Conference on Neural Networks

Conference

Conference	2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010
Country/Territory	Spain
City	Barcelona
Period	7/18/10 → 7/23/10

ASJC Scopus Subject Areas

Software
Artificial Intelligence

Access to Document

10.1109/IJCNN.2010.5596314

Cite this

Montesino Pouzols, F., & Lendasse, A. (2010). Effect of different detrending approaches on computational intelligence models of time series. In 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010 Article 5596314 (Proceedings of the International Joint Conference on Neural Networks). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IJCNN.2010.5596314

Effect of different detrending approaches on computational intelligence models of time series. / Montesino Pouzols, Federico; Lendasse, Amaury.
2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010. Institute of Electrical and Electronics Engineers Inc., 2010. 5596314 (Proceedings of the International Joint Conference on Neural Networks).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Montesino Pouzols, F & Lendasse, A 2010, Effect of different detrending approaches on computational intelligence models of time series. in 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010., 5596314, Proceedings of the International Joint Conference on Neural Networks, Institute of Electrical and Electronics Engineers Inc., 2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010, Barcelona, Spain, 7/18/10. https://doi.org/10.1109/IJCNN.2010.5596314

Montesino Pouzols F, Lendasse A. Effect of different detrending approaches on computational intelligence models of time series. In 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010. Institute of Electrical and Electronics Engineers Inc. 2010. 5596314. (Proceedings of the International Joint Conference on Neural Networks). doi: 10.1109/IJCNN.2010.5596314

Montesino Pouzols, Federico ; Lendasse, Amaury. / Effect of different detrending approaches on computational intelligence models of time series. 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 International Joint Conference on Neural Networks, IJCNN 2010. Institute of Electrical and Electronics Engineers Inc., 2010. (Proceedings of the International Joint Conference on Neural Networks).

@inproceedings{18a3097f5b8848e1b9e101887b0f7dff,

title = "Effect of different detrending approaches on computational intelligence models of time series",

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year = "2010",

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ER -

Effect of different detrending approaches on computational intelligence models of time series

Publication series

Conference

ASJC Scopus Subject Areas

Access to Document

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Cite this