Earticle

초록

영어

With the development of our national sport consciousness, sports are a more and more important role in people's daily life. Community sports have been adopted by more and more people. But due to historical and economic reasons, community sport level in China is quite low. How to conduct an evaluation of the community life sport, not only is the community residents request, but also an important means to make corresponding improvement for a city builder. However, due to the mathematical algorithm has high complexity for the general case, applicants to environmental assessment is difficult, In this paper, introduce the C4.5 and improved DRNN as machine learning methods, and data mining the existing community life sport, to construct the evaluate model of community life sport , Not only can make up for the algorithm less shortcoming of current community sport research, but also can get the objective conclusion, to evaluate the mechanism of factors, and to give counsel for the development of community sport.

목차

Abstract
 1. Introduction
 2.C4.5 Algorithm
 3. The Amproved DRNN Algorithm
  3.1 Diagonal Recurrent Neural Networks
  3.2 Use Genetic Algorithm to Optimizing the Weights of DRNN Neural Network
 4. Community Life Sport Evaluation is Based on C4.5and Improved DRNN
  4.1. The Selection of Evaluation Index
  4.2 The Experimental Design
 7. Conclusion
 Acknowledgment
 References

키워드

저자

• Fei Gao [ Department of Physical Education, Anhui Jianzhu University, Hefei, China ]
• RanLi [ School of Management, Anhui Jianzhu University, Hefei 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