The Recognition and Research of Improved Probabilistic Neural Network

DOI

10.2991/iccia.2012.321How to use a DOI?

Keywords

Pattern Recognition, Feature Extraction, Particle Swarm Optimization, Probabilistic Neural Network

Abstract

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.

Copyright

© 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/).

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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  -