The Recognition and Research of Improved Probabilistic Neural Network
- 10.2991/iccia.2012.321How to use a DOI?
- Pattern Recognition, Feature Extraction, Particle Swarm Optimization, Probabilistic Neural Network
Probabilistic neural network compared with the traditional BP neural network structure is simpler and it is faster to be identificated, so it is widely used in the field of pattern recognition. This paper is mainly focused on similar gesture recognition research, propose an probabilistic neural network gesture recognition algorithm. The simulation results show that the improved probabilistic neural network algorithm on the recognition rate and training time is better than the traditional BP network.
- © 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 - Xiaojing Shang PY - 2014/05 DA - 2014/05 TI - The Recognition and Research of Improved Probabilistic Neural Network BT - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012) PB - Atlantis Press SP - 1294 EP - 1297 SN - 1951-6851 UR - https://doi.org/10.2991/iccia.2012.321 DO - 10.2991/iccia.2012.321 ID - Shang2014/05 ER -