Application Research of Audit Talent Database Based on Neural Networks: A Review

With the development and application of technologies such as natural language processing, speech recognition, machine translation, and machine learning, artificial intelligence has gradually become an indispensable key technology in actual production systems. Nowadays, the accumulation of massive data, the improvement of computing power, the continuous development of machine learning methods, the innovation of system software and architecture, and the widespread use of cloud computing platforms have promoted the widespread application of artificial intelligence technology. The development of artificial intelligence has also attracted attention in the field of auditing. Scholars at home and abroad have expressed different views on the development of artificial intelligence and its application and impact in auditing. This paper reviews the application research of the audit talent database based on neural networks, and discusses the application of neural networks in the audit talent database, including the application of artificial neural networks and other artificial intelligence technologies in auditing.