高校模式识别课程改革与探讨  

Reform and Discussion on the Patternl Recognition Course in Colleges and Universities

作　　者：秦华锋[1] 王兴琼 QIN Hua-feng;WANG Xing-qiong(Chongqing Technology and Business University,Chongqing 400060,China;BaNan Middle school,Chongqing 400054,China)

机构地区：[1]重庆工商大学,计算机科学与信息工程学院,重庆400060 [2]重庆市巴南中学,重庆4000054

出　　处：《电脑知识与技术》2019年第7Z期160-162,165,共4页Computer Knowledge and Technology

基　　金：重庆工商大学教改资助项目(092030)

摘　　要：随着这人工智能算法尤其是深度学习的快速发展,已经对各行各业产生了影响。为了能够跟上技术和理论发展的步伐,培养企业和行业所需的人才,当前高校的人工智能课程需要做出调整。本文以模式识别课程为例,探讨人工智能背景下高校课程的改革方案。首先分析了目前模式识别课程存在的问题。然后,针对模式识别的课程特点,提出将前沿科技引入教学内容,并对教学内容和教学方式进行改革。最后,开发了相应的实验平台,并在实验教学环节中介绍了基于深度卷积神经网络手写体识别的实验案例。With the rapid development of this artificial intelligence algorithm,especially deep learning,it has already had an impact on various industries.In order to keep up with the pace of technological and theoretical development and to cultivate the talents needed by enterprises and industries,the current artificial intelligence courses in colleges and universities need to be adjusted.This paper takes the pattern recognition course as an example to discuss the reform plan of college curriculum under the back?ground of artificial intelligence.First,the problems existing in the current pattern recognition course are analyzed.Then,according to the characteristics of the curriculum of pattern recognition,it is proposed to introduce new technology into course,and reform the teaching content and teaching methods.Finally,the corresponding experimental platform was developed,and the experimental case based on deep convolutional neural network handwriting recognition was introduced in the experimental teaching section.

关 键 词：模式识别 课程改革 深度学习 人工智呢 实验平台 

分 类 号：G642[文化科学—高等教育学]