Industry-University-Research Knowledge Innovation Alliance Risk Assessment Based on BP Neural Network Algorithm

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.