摘要
为实现新工科人才培养目标,对现代交换原理课程的实践教学进行改革,在实践环节引入人工智能前沿技术。以网络流量预测实验项目为例,探索BP神经网络构建网络流量预测模型的实验设计方法。该实验项目不仅完善和优化了现代交换原理课程实验教学内容,而且提升了学生运用人工智能算法分析和解决通信网络工程问题的能力,培养了学生的数据思维和创新意识。
In order to achieve the goal of new engineering,the practical teaching content of modern switch principle course is reformed,and the frontier technology of artificial intelligence is introduced in the experimental link.In view of the fact that the analysis and prediction of network traffic data is the basis of intelligent switching network in the future,taking the experimental design of network traffic prediction as an example,the experimental design method of constructing network traffic prediction model based on BP neural network is studied.The experimental project not only improves and optimizes the experimental teaching system and content of modern switch principle course,but also improves the ability of students to analyze and solve practical network engineering problems by using artificial intelligence methods,which is conducive to the cultivation of students'artificial intelligence thinking mode and innovative consciousness.
作者
李红岩
付麦霞
樊超
Li Hongyan;Fu Maixia;Fan Chao(School of Information Science and Engineering,Henan University of Technology,Zhengzhou,450001,China;School of Artificial Intelligence and Big Data,Henan University of Technology,Zhengzhou,450001,China)
出处
《中国现代教育装备》
2022年第15期89-92,共4页
China Modern Educational Equipment
基金
国家第二批新工科研究与实践项目“地方高校新工科人才创意创新创业能力培养路径探索与实践”(编号:E-CXCYYR20200937)
2020年河南省新工科研究与实践立项项目“地方高校新工科人才创意创新创业能力培养路径探索与实践”(编号:2020JGLX037)
河南省教育科学“十三五”规划项目“新工科背景下人工智能专业建设研究”(编号:2020YB0076)
河南工业大学教育教学改革研究与实践项目(编号:JXYJ2020003)
河南省高等学校优秀教学基层组织建设项目。
关键词
新工科
人工智能
现代交换原理
new engineering
artificial intelligence
modern switch principle
