Method of Flatness Pattern Recognition Based on Chaos Particle Swarm Algorithm Optimization Elman Network
Zhimin Bi, Yan Wang
Available Online November 2016.
- 10.2991/aiea-16.2016.14How to use a DOI?
- Flatness pattern recognition; Elman neural network; Chaos particle swarm algorithm.
In order to obtain flatness pattern recognition method of high accuracy and simple operation .this paper presents a chaotic particle swarm initialization sequence, as well as put the chaotic sequence join into the thin iterative search process after meeting some conditions, Elman neural network shape pattern recognition method to improve the convergence speed and accuracy. In neural network modeling process, using chaotic particle swarm optimization algorithm global search for the best advantage of the ability to obtain the optimal network parameters optimized to improve accuracy of the flatness pattern recognition.
- © 2016, 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 - Zhimin Bi AU - Yan Wang PY - 2016/11 DA - 2016/11 TI - Method of Flatness Pattern Recognition Based on Chaos Particle Swarm Algorithm Optimization Elman Network BT - Proceedings of the 2016 International Conference on Artificial Intelligence and Engineering Applications PB - Atlantis Press SP - 74 EP - 79 SN - 2352-538X UR - https://doi.org/10.2991/aiea-16.2016.14 DO - 10.2991/aiea-16.2016.14 ID - Bi2016/11 ER -