Research on the Performance Evaluation of Industry-University-Research Collaborative Innovation Project
Xiaofeng Li, Suying Xiang, He Wu, Qisheng Chen
Available Online July 2015.
- https://doi.org/10.2991/lemcs-15.2015.171How to use a DOI?
- Collaboration innovation; Index system; BP neural network; Algorithm design; Performance evaluation
- To actively promote the deep collaboration and coordinated development between enterprises and universities and research institutes has great importance to building an innovative country. In this paper, on the foundation of the knowledge description of Industry-University-Research Collaborative Innovation, at first, the index system of performance comprehensive evaluation of I-U-R collaborative innovation project is established, then the BP neural network model of performance comprehensive evaluation of I-U-R collaborative Innovation project is proposed, and the algorithm of this network model is designed. Theoretical analysis and experimental results show the feasibility and validity of this model. The research work supplies a new way for the performance evaluation of I-U-R collaborative innovation project.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xiaofeng Li AU - Suying Xiang AU - He Wu AU - Qisheng Chen PY - 2015/07 DA - 2015/07 TI - Research on the Performance Evaluation of Industry-University-Research Collaborative Innovation Project BT - International Conference on Logistics Engineering, Management and Computer Science (LEMCS 2015) PB - Atlantis Press SP - 866 EP - 869 SN - 1951-6851 UR - https://doi.org/10.2991/lemcs-15.2015.171 DO - https://doi.org/10.2991/lemcs-15.2015.171 ID - Li2015/07 ER -