Based on the theory of BP neural network, we use AHP method to construct the index system and standard of enterprise collaborative management of intellectual property rights under the view of innovation, and the specific evaluation indexes are given from five aspects. In this paper, in order to overcome the existing shortcomings of multi index system In the evaluation method, we use AHP-GA-BP neural network to comprehensive evaluation each index of enterprise intellectual property management. Our method not only displays the evaluation expert experience in learning The evaluation results show that this algorithm can effectively analyze enterprise intellectual property management problems.
목차
Abstract 1. Introduction 2. The AHP Theory 3. Genetic algorithms 4. Activation function of BP network 5. The AHP-GA-BP collaborative innovation evaluation model 5.1. The characteristics of collaborative innovation 5.2. The AHP-GA-BP index system 6. Simulation 7. Conclusion Acknowledgements References
Xiaoyi Deng [ College of Business Administration, Huaqiao University No.269 Chenghuabei Road, Quanzhou 362021, P.R. China, Institute of Systems Engineering, Dalian University of Technology No.2 Linggong Road, Dalian 116024, P.R. China ]
Chaoming Li [ College of Business Administration, Huaqiao University No.269 Chenghuabei Road, Quanzhou 362021, P.R. China ]
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 505DDC 605
이 권호 내 다른 논문 / International Journal of u- and e- Service, Science and Technology Vol.7 No.1