Innovation of enterprise technology alliance based on BP neural network

Enterprise technology alliance innovation is the power force of enterprise development. At present, the enterprise science and technology alliance is affected by many factors in the innovation process. It is difficult to grasp the direction of science and technology innovation in an economic market environment, which has a certain impact on the development of enterprises. Based on the BP neural network model, this study uses relationship embedding and structure embedding in network embedding as predetermined variables and inter-organizational knowledge transfer as intermediary variables to study the internal mechanism of technological innovation capabilities of China’s high-tech enterprise technology alliances. Furthermore, a corresponding model was constructed for simulation analysis, and a valid factor analysis was performed on the valid data with Lisrel 8.70. The results show that network embedding is the power force of enhancing the technological innovation capability of China’s high-tech enterprise technology alliances.