The Recognition and Research of Improved Probabilistic Neural Network

摘要：

　　Probabilistic neural network compared with the traditional BP neural network structure is simpler and it is faster to be identifieated,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.

关键词： Pattern Recognition Feature Extraction Particle Swarm Optimization Probabilistic Neural Network

作者: Xiaojing Shang

作者单位: Electrical and Information Engineering Department The City College Of Jilin Architectural And Civil Engineering Institute, Changchun, 130000, China

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer and Information Applications(ICCIA2012)(2012第二届计算机和信息应用国际会议)

会议地点: 太原

会议语种:英文

页码: 1294-1297

在线出版日期: 2012-12-08（万方平台首次上网日期，不代表论文的发表时间）