Research on Intelligent Classroom Learning of Accounting Numbers Based on Neural Network Technology Model

The more the economy develops, the more important accounting is. As artificial intelligence (AI) technology and the economy continue to advance swiftly, the accounting industry is undergoing unprecedented changes, and The dynamic advancement of the economy is inextricably linked to the ongoing evolution and comprehensive reform of accounting practices. In the context of globalization and digitalization, accounting work is undergoing a significant transformation through technological innovation, with the aim of enhancing the efficiency and accuracy of decision-making processes. Concurrently, improvements in the system and the adoption of international standards have contributed to greater transparency and comparability in accounting information, providing a powerful stimulus for economic growth. Collectively, these developments have facilitated the optimization of the economic structure and the integration of global markets, ensuring the sustained advancement of economic activities. For instance, the application of AI technology in automation, data analysis and risk management has greatly improved the efficiency and accuracy of accounting work. Taking a private university in Guangdong Province, this study employs a methodology that integrates theoretical frameworks with experimental approaches, introduces the relevant basic theories of this paper, and then makes a systematic comparative analysis by collecting relevant classroom teaching data through research. This study examines the tailored learning approach within the context of intelligent classroom environments in accounting education, and giving full play to the effectiveness of accounting intelligent classroom learning. Through empirical investigation, the impact of neural network technology in accounting classroom is verified. The findings of the experimental study indicate that the mean score of the network-based intelligent learning class is 6 points higher than that of the traditional classroom, reaching 76 points. This evidence substantiates the significant impact of an intelligent learning environment on enhancing teaching quality and facilitating personalized learning, while providing robust support for educational innovation and interactive learning environment, which is very helpful for accounting students to improve their professional knowledge and practical ability. The exploration of intelligent learning in accounting class based on neural network technology model provides new ideas and methods for accounting education and helps to promote the development and progress of accounting education.