Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013)

A chaotic time series prediction algorithm using asymmetric functions

Authors
Yun Bu, Wan Xin Kang, Yong Qiang Chen
Corresponding Author
Yun Bu
Available Online March 2013.
DOI
10.2991/icibet.2013.171How to use a DOI?
Abstract

To connect prediction functions with physical phenomena, we designed two shape-variable functions to improve the adaptability of a prediction algorithm for asymmetric distributed chaotic signals. An adjustable parameter controls the shape of the presented functions. In simulation, we proved that if the chaotic series are asymmetric, the best performance appears when the shape of the basis function is similar with the shape of density functions.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013)
Series
Advances in Intelligent Systems Research
Publication Date
March 2013
ISBN
978-90-78677-57-4
ISSN
1951-6851
DOI
10.2991/icibet.2013.171How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yun Bu
AU  - Wan Xin Kang
AU  - Yong Qiang Chen
PY  - 2013/03
DA  - 2013/03
TI  - A chaotic time series prediction algorithm using asymmetric functions
BT  - Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013)
PB  - Atlantis Press
SP  - 788
EP  - 791
SN  - 1951-6851
UR  - https://doi.org/10.2991/icibet.2013.171
DO  - 10.2991/icibet.2013.171
ID  - Bu2013/03
ER  -