Research on Intelligent Information System of Automotive Investment and Financing Platform Industry Chain Based on Computer Machine Learning

This paper builds a large-scale automobile industry chain financing platform with independent intellectual property rights. The paper is to construct a collaborative investment and financing model of automobile industry chain based on dynamic alliance. In order to enhance the portability and maintainability of software, a five-level architecture is proposed. This platform can complete and support the business collaboration of the whole industry and provide a good model for its management and construction. A mathematical model of optimal matching between investment and financing platform is constructed by using linear programming and weight scoring method based on greedy algorithm. This model can not only ensure that both investors meet the matching needs, but also improve the operability and effectiveness of investment decisions. According to the enterprise dynamic alliance architecture, this paper studies and develops it. This paper designs and implements a platform management system based on dynamic alliance organization structure. The system is developed and rented by enterprise alliance structure. It can set up a good reference model for the construction and operation of financing platform in the automobile industry.