文章基本信息

标题：Traffic Sign Classification Using Convolutional Neural Network
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作者：Nemanja Veliovi ; Zeljko Stojkovi ; Goran Dimi 等
期刊名称：Computer Science & Information Technology
电子版ISSN：2231-5403
出版年度：2018
卷号：8
期号：5
页码：177-186
DOI：10.5121/csit.2018.80514
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Artificial Neural Networks enables solving many problems in which classical computing is not up to task.Neural Networks and Deep Learning currently provide the best solutions to problems in image recognition,speech recognition and natural language processing. In this paper a Neural Network, more specific -Convolutional Neural Network solution for the purpose of recognizing and classifying road traffic signs isproposed. Such solution could be used in autonomous vehicle production, and also similar solutions couldeasily be implemented in any other application that requires image object recognition.
关键词：Artificial neural network; convolutional neural network; classification; traffic sign