基于人工智能和数据挖掘的智能金融实时控制系统实现

Juan Yan
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引用次数: 0

摘要

本文研究了基于人工智能和数据挖掘技术的智能金融实时控制系统的实现。创新和改革是企业经营和发展的重要目标。随着智能财务管理系统的建设、改革和创新,财务人员不仅需要做好预算管理、成本控制、系统收益数据分析等工作,还需要注意财务管理系统功能的升级和维护。企业可以利用管理模式来适应当前动态、多元化的市场经济环境,确保智能财务管理能够为企业创造更多的经济价值。将数据挖掘与人工智能模型相结合,构建高效的模型。可以看出所设计的模型是智能的、高效的。
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Smart Financial Real-Time Control System Implementation based on Artificial Intelligence and Data Mining
Smart financial real-time control system implementation based on artificial intelligence and data mining is studied in the paper. Innovation and reform are important objectives for the operation and development of enterprises. With the construction, reform and innovation of intelligent financial management system, financial staff not only need to do a good job in budget management, cost control, system income data analysis, but also need to pay attention to the upgrading and maintenance of the financial management system functions. Enterprises can use the management model to adapt to the current dynamic and diversified market economic environment to ensure that smart financial management can create more economic value for the enterprise. The data mining and the AI models are integrated to construct the efficient model. It can be reflected that the designed model is intelligent and efficient.
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