In this paper, improved information entropy model and SOM neural networks are proposed for evaluating technical and tactical abilities of football teams in Euro 2012.Information entropy model is an effective performance evaluation tool. As a fine clustering tool, SOM has been used widely. The approach make input space cluster automatically and the learning process of clustering doesn’t need supervision. At the same time, eleven indicators that reflect technical and tactical ability of football teams are selected. Then, by means of entropy method and clustering analysis with statistic data of Euro 2012, characteristic and law is discovered between competition results and technical and tactical abilities, and a method for comprehensive assessment of technical and tactical abilities of football teams was proposed.
목차
Abstract 1. Introduction 2. Research Objective and Evaluation Indicators 3. Information Entropy Model Based on Genetic Algorithm 4. Evaluation 5. SOM Neural Networks Introduction 6. Clustering Analysis Based on SOM Clustering Method 7. Clustering Results Evaluation 8. Conclusion References
키워드
Euro 2012entropy methodclustering analysistechnical and tactical abilities
보안공학연구지원센터(IJMUE) [Science & Engineering Research Support Center, Republic of Korea(IJMUE)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Multimedia and Ubiquitous Engineering
간기
월간
pISSN
1975-0080
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Multimedia and Ubiquitous Engineering Vol.9 No.11