A chaotic time series prediction algorithm using asymmetric functions

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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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  -