Spatial Spillover Effect of Digital-Finance-Driven Technology Innovation Level Based on BP Neural Network

The spillover effect of technological innovation has a huge role in promoting the development of the regional economy. In the process of economic development, financial agglomeration is becoming increasingly common. Based on the back-propagation neural network, this paper analyzed the spatial spillover effect of technological innovation driven by digital finance. This paper proposed the use of Matlab for the training analysis of back-propagation neural networks. Results show that the previous warning analysis results are reasonable. Conclusion analysis was then conducted. The mechanism and influence of digital finance in promoting regional technological innovation were analyzed in terms of supply and demand. The supply side mainly alleviated the problem of financing constraints, while the demand side mainly affected the consumption behavior of residents, and both sides jointly promoted regional technological innovation. Among the regional differences in the degree of financial agglomeration, the differences within and between groups were calculated and compared, and they comprehensively reflected the development status of financial agglomeration. The results show that the total number of patents in city D was less than that in city C in the past four years, but the annual growth rate was very fast, especially in 2020, reaching 40%. Therefore, the innovation environment of City D was continuously improving, and the innovation activities are becoming increasingly active. Moreover, data and financial innovation technology have a strong spatial spillover effect. This paper aimed to study the spatial spillover effect of digital-finance-driven technological innovation based on BP neural network, which contributes to the spatial spillover effect of digital-finance-driven technological innovation.