Earticle

초록

영어

Deep neural networks (DNNs) and their learning algorithms have been widely used in large data analysis. With the practice of teaching network reform in higher education, many colleges began to use the network to change the traditional teaching methods, and made several achievements. In this paper, the authors first analyze the infinite depth neural network, and construct evaluation index system by using network data mining method. The result shows that 58.09% students think the evaluation from college physical education is formative assessment, 27.94% students think that the evaluation reflects the magnitude progress, and 30.15% students think that it reflects the students' self-evaluation. Physical teaching evaluation is an important part of physical education; however, the survey found that physical education students are lack of understanding of teaching evaluation. Therefore, colleges should make comprehensive evaluation of physical education, and formulate scientific and rational teaching evaluation concept.

목차

Abstract
 1. Introduction
 2. Neural Network
  2.1. Depth Neural Network
  2.2. Network Topology Structure
 3. Research Design
  3.1. Research Methods
  3.2. Physical Education Teaching
 4. Empirical Analysis
  4.1. System Principles
  4.2. Evaluation Index System
  4.3. Students Learning Evaluation
 5. Conclusions
 References

키워드

저자

• Runzhong Li [ P.E. and Leisure College of Hainan Tropical Ocean University, Sanya, China ]
• Yuxia Wang [ P.E. College of Nanchang Hangkong University, Nanchang, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605