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Industry-university-research knowledge innovation alliance risk assessment based on BP neural network algorithm

  • Harbin Institute of Technology Weihai
  • Weihai Science and Technology Innovation Development Center

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper analyzes risk causes of Industry-university-research knowledge innovation alliance from the perspective of knowledge innovation, it takes knowledge sharing insufficiency, knowledge spillovers, insufficient knowledge transformation and upgrade as the origin of risk; Management risk and interest risk are inner risk, market risk and technology risk are extraversion risk. Learn from previous research achievements, the risk assessment indexes are set. According to the risk characteristics of research, through the theoretical analysis, BP neural network is took as a risk evaluation method, MATLAB software is used to survey data processing, and the risk degree evaluation model is preliminary formatted, at last, an empirical demonstration is took to prove it.

Original languageEnglish
Title of host publicationProceedings - 2011 4th International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2011
Pages428-433
Number of pages6
DOIs
StatePublished - 2011
Event4th International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2011 - Shenzhen, China
Duration: 26 Nov 201127 Nov 2011

Publication series

NameProceedings - 2011 4th International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2011
Volume3

Conference

Conference4th International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2011
Country/TerritoryChina
CityShenzhen
Period26/11/1127/11/11

Keywords

  • Industry-university-research
  • Knowledge innov-ation alliance
  • Neural network
  • Risk assessment

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