A chaotic time series prediction algorithm using asymmetric functions
- 10.2991/icibet.2013.171How to use a DOI?
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.
- © 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 -