The Recognition and Research of Improved Probabilistic Neural Network

被引：0
|
作者：
Shang, Xiaojing [1 ]
机构：
[1] Jilin Architectural & Civil Engn Inst, City Coll, Elect & Informat Engn Dept, Changchun 130000, Peoples R China
来源：
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION APPLICATIONS (ICCIA 2012) | 2012年
关键词：
Pattern Recognition; Feature Extraction; Particle Swarm Optimization; Probabilistic Neural Network;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：1294 / 1297
页数：4
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