神经网络组合模型在我国税收征管中的应用现状与问题

Application and challenges of neural network models in Chinas tax management

随着人工智能技术的迅猛发展,神经网络组合模型在税收征管领域的应用日益广泛,为税务管理提供了革新性的解决方案。文章介绍了神经网络的基本原理及其在税收征管中的具体应用情况,深入分析了神经网络组合模型在我国税收征管中的应用现状,并探讨了在实际应用过程中遇到的关键问题和挑战。针对这些问题,文章提出了一系列综合性的优化策略和解决方案,旨在为我国税收征管领域的技术发展和管理创新提供理论支持。

With the rapid development of artificial intelligence technology,the application of neural network ensemble models in the field of tax administration is becoming increasingly widespread,providing innovative solutions for tax management.This paper firstly introduces the basic principles of neural networks and their specific applications in tax administration.It further analyzes the current application status of neural network ensemble models in tax administration in China and discusses the key issues and challenges encountered in practical applications.Addressing these issues,the paper proposes a series of comprehensive optimization strategies and solutions aimed at providing theoretical support for the technological development and management innovation in the field of tax administration in China,as well as valuable guidance for practical operations.