基于BP神经网络的产品商标鉴别系统研究  

Research on Trademark Identification System Based on BP Neural Network

作　　者：王一海[1] WANG Yihai(School of Digital Commerce,Nanjing Vocation College of Information Technology,Nanjing Jiangsu 210023,China)

机构地区：[1]南京信息职业技术学院数字商务学院,江苏南京210023

出　　处：《电子器件》2021年第6期1516-1519,共4页Chinese Journal of Electron Devices

基　　金：江苏省高校哲学社会科学研究一般项目(2021SJA0714);江苏省“十四五”高等教育科学研究规划课题(YB139)。

摘　　要：随着深度学习的快速发展,信息处理愈发迅速精确。在电子商务蓬勃发展的当代,打击盗版品牌的需求也更加强烈。采用BP神经网络对品牌商标的图像信息进行学习和训练,实现了对商标正盗版的识别分类,能显著增加智能筛选盗版商标的效率。With the rapid development of deep learning, information processing becomes more and more fast and accurate. In the era of vigorous development of E-commerce, the demond of cracking down on pirated brands is also more intense. A BP neural network is used to learn and train the image information of brand trademarks, which is help to realize the identification and classification of legal or pirated trademarks. It greatly increases the efficiency of intelligent screening of pirated trademarks.

关 键 词：BP神经网络 商标识别 分类器 

分 类 号：TP306[自动化与计算机技术—计算机系统结构]