Performance Evaluation of Financial Support for Transformation of Military Scientific and Technological Achievements Based on Machine Learning and PCA

Abstract

The first motive force of development is innovation. If we want to enhance the driving force of industrial development, we must transform the achievements of scientific and technological innovation effectively. Developing strategic emerging industries is one of the most important tasks of our country now. The combination of machine learning and PCA financial support is very important for the transformation of military scientific and technological achievements (STA) in China. Based on PCA, this paper selects some representative input-output indicators. According to the survey, China’s strategic resource allocation has an impact on emerging industries, and there is room for optimization. The form of ownership of a company, whether it holds two positions concurrently, the financial results, and the rights and interests of some shareholders have obvious bad effects on comprehensive efficiency, while the time of establishment and the location of the company have obvious good effects on comprehensive efficiency.