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
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)