Samy Abu Naser, Ihab Zaqout, Mahmoud Abu Ghosh, Rasha Atallah, Eman Alajrami
언어
영어(ENG)
URL
https://www.earticle.net/Article/A241944
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
영어
In this paper an Artificial Neural Network (ANN) model, for predicting the performance of a sophomore student enrolled in engineering majors in the Faculty of Engineering and Information Technology in Al- Azhar University of Gaza was developed and tested. A number of factors that may possibly influence the performance of a student were outlined. Such factors as high school score, score of subject such as Math I, Math II, Electrical Circuit I, and Electronics I taken during the student freshman year, number of credits passed, student cumulative grade point average of freshman year, types of high school attended and gender, among others, were then used as input variables for the ANN model. A model based on the Multilayer Perceptron Topology was developed and trained using data spanning five generations of graduates from the Engineering Department of the Al- Azhar University, Gaza. Test data evaluation shows that the ANN model is able to correctly predict the performance of more than 80% of prospective students.
목차
Abstract 1. Introduction 2. Literature Review 3. The Artificial Neural Networks 4. Methodology 4.1. The Input Variables 4.2. The Output Variable 5. Design of the Neural Networks 5.1. Network Architecture 5.2. The Back-propagation Training Algorithm 6. Evaluation of Neural Network 7. Conclusion References
키워드
Artificial Neural NetworksStudent performanceANNEducationPredictive Model
저자
Samy Abu Naser [ Faculty of Engineering & Information Technology, Al-Azhar University - Gaza, Palestine ]
Ihab Zaqout [ Faculty of Engineering & Information Technology, Al-Azhar University - Gaza, Palestine ]
Mahmoud Abu Ghosh [ Faculty of Information Technology, University of Palestine, Gaza, Palestine ]
Rasha Atallah [ Faculty of Information Technology, University of Palestine, Gaza, Palestine ]
Eman Alajrami [ Faculty of Information Technology, University of Palestine, Gaza, Palestine ]
보안공학연구지원센터(IJHIT) [Science & Engineering Research Support Center, Republic of Korea(IJHIT)]
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 Hybrid Information Technology
간기
격월간
pISSN
1738-9968
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Hybrid Information Technology Vol.8 No.2