BP Neural Network-Based Risk Assessment for Industrialization of Patent Technology

Industrialization process of patent technology is one of the most important marks to evaluate patent technology innovation ability, which affects their own survival and development in the competition. But the ratio of industrialization is still very low, because there are some restricted risks through the industrialization process. So, if a reasonable risk assessment system for industrialization of patent technology could been put forward based on the analyst for the risks, and some suitable theory could been applied for the assessment, it would do great contribution, offer objective database and implementation guidance to the industrialization of patent technology. Aim at risk assessment for industrialization of patent technology, the paper puts forward the construction of the patent industrialization index system based on the analyst for the risks. And BPNN theory could be applied for the assessment. As a case study, A University has been chosen for an example to prove the correctness of the conclusion and effectiveness of the assessment.