Intelligent Learning of Digital Finance and Accounting Based on Neural Network Technology

Abstract

With the rapid economic growth, financial and accounting conditions have become more and more important. This is a summary of the historical process of accounting career development. Practice shows that economic development is inseparable from the update and reform of accounting work, and the content of accounting also needs to keep pace with the times and constantly improve, which requires more knowledge in the classroom. Neural network technology is mainly applied to computer networks to simulate human thinking to solve problems. When digital and intelligent accounting learning combined with neural network, the efficiency of financial learning can be greatly improved. This article uses a combination of theoretical research and empirical research, based on the views and research content of some scholars over the past few years, introduces the basic framework and research content of this article, and then systematically analyzes the data collected through the research. Analyze the data of the intelligent learning of digital accounting, and summarize the relevant characteristics of the neural network plan. This article focuses on exploring the personalized learning mode in the environment of smart learning in finance and accounting to give full play to the effects of smart learning. The final result of the research shows that compared with the traditional teaching model, the test scores of the experimental class of network intelligent learning are 76 points higher than the 70 points of the control class. The intelligent learning environment improves the professional knowledge and knowledge of accounting students. Practical ability is very helpful.