Research on the Application of Machine Learning in the Cost Control of Enterprise R&D Projects

Under the background of global economic integration and increasingly fierce market competition, enterprises are facing enormous cost pressure. Among them, R&D project is the core driving force of enterprise innovation and development, and its cost control effect is directly related to the competitiveness and profitability of enterprises. However, in the face of complex and changeable market environment and technical conditions, the traditional cost control methods of R&D projects show insurmountable limitations and can no longer meet the practical application needs of enterprises. In this regard, based on the current problems, this paper deeply analyzes the application feasibility of artificial intelligence and machine learning technology in this field, and puts forward a brand-new cost control framework for enterprise R&D projects to improve the accuracy and efficiency of cost control. Practice has proved that this framework is based on BP neural network, and through learning and analyzing historical project cost data, it can obtain hidden rules and patterns in the data, provide more accurate prediction and decision support for enterprise's subsequent R&D project cost control, and enhance the flexibility and response speed of cost control.