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

被引：0

作者：

Li, Xiaofeng ^{[1
]}

Wu, He ^{[1
]}

Xiang, Suying ^{[1
]}

Chen, Qisheng ^{[1
]}

机构：

[1] Sichuan Univ, Dept Management Sci, Sch Business, Chengdu 610064, Peoples R China

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON LOGISTICS, ENGINEERING, MANAGEMENT AND COMPUTER SCIENCE (LEMCS 2015) | 2015年 / 117卷

关键词：

Collaboration Innovation; Index System; BP Neural Network; Algorithm Design; Performance Evaluation;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 IU-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.

引用

页码：866 / 869

页数：4

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