Research on the Performance Evaluation of Industry-University-Research Collaborative Innovation Project

DOI

10.2991/lemcs-15.2015.171How to use a DOI?

Keywords

Collaboration innovation; Index system; BP neural network; Algorithm design; Performance evaluation

Abstract

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.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

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  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 866
EP  - 869
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-15.2015.171
DO  - 10.2991/lemcs-15.2015.171
ID  - Li2015/07
ER  -