Application of BP Neural Network in Digital ImageRecognition

摘要：

　　BP neural network is a new image recognition method,mainly in the traditional image recognition method,adding an algorithm about neural network.The method of image recognition using BP neural network is raised in this paper.Rather than feature extraction,image data is directly used as input.At the end,the network training and testing is completed in Python,and the experimental results are given.The results show that the neural network image recognition system without feature extraction has strong anti-interference ability.

作者: Lu Zou YongxinZhao BinJiao

作者单位: School of electric engineering,Shanghai Dianji University,Shanghai,China Shanghai Zhenhua Heavy Industries Company Limited,Shanghai,China

会议类型: 国际会议

会议名称: The 2nd International Symposium on Application of Materials Science and Energy Materials (SAMSE 2018) 第二届材料科学应用与能源材料国际研讨会2018年

会议地点: 上海

会议语种:英文

页码: 1-5

在线出版日期: 2018-12-17（万方平台首次上网日期，不代表论文的发表时间）