Method of Flatness Pattern Recognition Based on Chaos Particle Swarm Algorithm Optimization Elman Network

DOI

10.2991/aiea-16.2016.14How to use a DOI?

Keywords

Flatness pattern recognition; Elman neural network; Chaos particle swarm algorithm.

Abstract

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.

Copyright

© 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/).

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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  -