현재 위치
Home
Performance Prediction Model of University Students Based on the Grey BP Neural Network
-
- 발행기관
- 보안공학연구지원센터(IJUNESST) 바로가기
-
- 간행물
- International Journal of u- and e- Service, Science and Technology 바로가기
-
- 통권
- Vol.9 No.10 (2016.10)바로가기
-
- 페이지
- pp.265-272
-
- 저자
-
- 언어
- 영어(ENG)
-
- URL
- https://www.earticle.net/Article/A288673
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- This article counted the best performance of students entrepreneurship courses from 2005 to 2014, and took the best performance prediction of 2014 entrepreneurship course as the research object. According to the best annual performance of entrepreneurship courses from 2005 to 2014, this article established the grade prediction model of series combination of GM (1, 1) grey prediction model and BP neural network prediction model, and the established model was used to predict the best annual performance of students entrepreneurship course. Through comparing the actual value of the best annual performance of 2014 entrepreneurship course and the predicted value c by the model, this article analyzed the application of grey BP neural network prediction model in the students entrepreneurship performance prediction. The research results showed that for entrepreneurship performance prediction problem, the grey BP neural network prediction model had high prediction precision , simple application, and it can be widely used, and had more advantages than single GM (1, 1) grey prediction model and BP neural network model.
목차
Abstract
1. Introduction
2. Grey BP Neural Network Model Introduction
2.1. Establishment Steps of BP Neural Network Prediction Model
2.2. Establishment Steps of GM (1, 1) Grey Prediction Model
2.3. Grey BP Neural Network Model Introduction
3. Establishment of Grey BP Neural Network Prediction Model
3.1. Processing of the Original Data
3.2. Establishment of the Training Sample
3.3. Establishment of BP Neural Network Prediction Model
4. Model Solution and Analysis
4.1. Training Performance Analysis of Grey BP Neural Network
4.2. Precision Test of Grey BP Neural Network
5. Conclusion
References
키워드
Course performance Entrepreneurial skill Grey model BP neural network Prediction model저자
간행물 정보
발행기관
-
- 발행기관명
- 보안공학연구지원센터(IJUNESST) [Science & Engineering Research Support Center, Republic of Korea(IJUNESST)]
- 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 u- and e- Service, Science and Technology
- 간기
- 격월간
- pISSN
- 2005-4246
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.9 No.10
피인용수 : 0건 (자료제공 : 네이버학술정보)
함께 이용한 논문 이 논문을 다운로드한 분들이 이용한 다른 논문입니다.
출처 : 네이버학술정보
0개의 논문이 장바구니에 담겼습니다.