Restraint Method Research for Coupling Random Error Based on High Dimensional Data Set Multiscale Analysis
Authors
X.Y. Zhou, J.Q. Wang, Z.M. Wang, Y.Y. Jiao, X.G. Pan, C.E. Xiao
Corresponding Author
X.Y. Zhou
Available Online July 2015.
- DOI
- 10.2991/aiie-15.2015.61How to use a DOI?
- Keywords
- coupling error; restraint; high dimensional data set; multiscale; ship attitude
- Abstract
For coupling random error, a new method based on multiscale analysis on high dimensional data set is advanced in this paper. It is extends traditional wavelet to high dimensional data set and does multiscale analysis, so that the information in the multi-measure data can be used better. The step of the restraint algorithm is given. Finally, simulated ship attitude data is used to verify the new method. The results show that the three angles in ship attitude are coupling and the method proposed in this paper is valid, which can get a better restraining result than traditional wavelet method.
- Copyright
- © 2015, 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 - X.Y. Zhou AU - J.Q. Wang AU - Z.M. Wang AU - Y.Y. Jiao AU - X.G. Pan AU - C.E. Xiao PY - 2015/07 DA - 2015/07 TI - Restraint Method Research for Coupling Random Error Based on High Dimensional Data Set Multiscale Analysis BT - Proceedings of the 2015 International Conference on Artificial Intelligence and Industrial Engineering PB - Atlantis Press SP - 217 EP - 220 SN - 1951-6851 UR - https://doi.org/10.2991/aiie-15.2015.61 DO - 10.2991/aiie-15.2015.61 ID - Zhou2015/07 ER -