基于BP神经网络的课程质量评价体系构建——以物流信息技术应用课程为例  

Construction of Curriculum Quality Evaluation System Based on BP Neural Network——A Case Study of Logistics Information Technology Application Course

作　　者：钱宇[1] QIAN Yu(Shanghai Jiaotong Vocational and Technical College,Shanghai 200314,China)

机构地区：[1]上海交通职业技术学院,上海200314

出　　处：《物流工程与管理》2021年第10期172-174,共3页Logistics Engineering and Management

摘　　要：《物流信息技术应用》是高校物流信息专业不可缺少的一门课程,伴随着高校扩招数量的不断增加,社会和高校非常重视学生的学习质量。从高校方面来看,怎样提高教师教学质量是重点思考的问题。BP神经网络是一种具有较强适应能力的前馈型学习网络,其对于人工智能领域而言具有重大的作用。在研究过程中,主要以《物流信息技术应用》为例,首先对BP神经网络进行简单介绍,然后基于BP神经网络探讨了课程质量评价体系的构建,最后基于BP神经网络对教学质量评价进行深入研究。The“application of logistics information technology”is an indispensable course for logistics information specialty in colleges and universities.With the increasing number of enrollment in colleges and universities,the society and universities attach great importance to the quality of students learning.From the perspective of colleges and universities,how to improve the teaching quality of teachers is the key consideration.BP neural network is a feedforward learning network with strong adaptability,which plays an important role in the field of artificial intelligence.In the process of research,this paper mainly takes the course of logistics information technology application as an example.Firstly,it briefly introduces BP neural network,then discusses the construction of curriculum quality evaluation system based on BP neural network,and finally makes in-depth research on teaching quality evaluation based on BP neural network.

关 键 词：BP神经网络 《物流信息技术应用》 课程质量评价体系 

分 类 号：G712[文化科学—职业技术教育学]