Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)

The Recognition and Research of Improved Probabilistic Neural Network

Authors
Xiaojing Shang
Corresponding Author
Xiaojing Shang
Available Online May 2014.
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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Volume Title
Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
10.2991/iccia.2012.321
ISSN
1951-6851
DOI
10.2991/iccia.2012.321How to use a DOI?
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/).

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  -