摘要
随着工程项目规模和复杂度不断提升，传统预算编制与成本预测方法面临效率低、误差大等挑战。人工智能技术的引入为工程预算提供了智能化、精准化的解决方案。通过机器学习、数据挖掘等技术，能够有效提升预算编制的自动化水平，优化成本预测的准确度，降低人为干扰和风险。本文围绕人工智能技术在工程预算编制与成本预测中的应用展开，探讨其实现路径及优势，为提升工程管理效率和经济效益提供理论支持和实践参考。
关键词： 人工智能；工程预算；成本预测；机器学习；数据挖掘
Abstract
As the scale and complexity of engineering projects continue to increase, traditional budget preparation and cost forecasting methods face challenges such as low efficiency and significant errors. The introduction of artificial intelligence technology has provided intelligent and precise solutions for engineering budgets. Through techniques like machine learning and data mining, it can effectively enhance the automation level of budget preparation, improve the accuracy of cost forecasting, and reduce human interference and risks. This article focuses on the application of AI technology in engineering budget preparation and cost forecasting, exploring its implementation paths and advantages, providing theoretical support and practical references for improving engineering management efficiency and economic benefits.
Key words： Artificial intelligence; Engineering budget; Cost prediction; Machine learning; Data mining
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