会议专题

GLASS PATTERN RECOGNITION BASED ON IMPROVED BP ALGORITHM

  According to the characteristics of glass defects,through analyzing the advantages and disadvantages of the traditional BP algorithm,an improved BP neural network recognition algorithm based on neural network classifier is proposed.The improved algorithm is applied to the glass defect classification and character recognitionin.Compared with traditional BP recognition algorithm,experimental results show that,identification of false positives is low by improving the algorithm of fast convergence.

Glass defect BP neural network Feature extraction Pattern recognition

Shufang Li Lihui Zhang

Department of Information Engineering,Environmental Management College of China,Qinhuangdao 066004,China

国际会议

2012 2nd IEEE International Conference on Cloud Computing and Intelligence Systems (2012年第2届IEEE云计算与智能系统国际会议(IEEE CCIS2012))

杭州

英文

98-103

2012-10-30(万方平台首次上网日期,不代表论文的发表时间)