Development of financial system for technology enterprises based on sensor networks and adaptive genetic algorithm

Abstract

In the evolution of enterprises, the emergence of the information age and advancements in related technologies have significantly amplified the significance of financial data generated through enterprise activities for their overall development. As data processing and information technology continue to advance, enterprises are increasingly prioritizing the development of financial systems. The focus of attention is shifting towards leveraging data in the development and utilization of financial systems. This signifies a gradual transition towards a data-driven approach in the development and utilization of financial systems within enterprises. Some basic activities of data processing can be carried out on the network platform. For the development of an enterprise, the scale of production and operation of the enterprise and the technology of system development will directly affect the speed of enterprise development. In the context of the development of the new era, Internet technology has been developed at a deeper level. The development of Internet technology and the construction of network platforms have changed the way enterprises develop systems to a certain extent, providing more advanced technology for enterprise development systems. Embedded system can provide people with excellent human-computer interaction experience, and it also has very powerful data processing capabilities. It has been the focus of research by researchers in various countries in recent years. This article analyzes the use of embedded systems and genetic algorithms, and provides a new technical direction for enterprises to develop high-performance financial systems.