Advances in Constructional Engineering

Cost management in construction engineering is the key to ensuring the smooth progress of a project and achieving expected benefits. With the complexity and large scale of construction engineering projects, traditional cost estimation methods face numerous challenges. The cost prediction and optimization model of construction engineering based on machine learning, through a data-driven approach, can accurately predict project costs in the early stage of a project and achieve the optimal solution for resource allocation through optimization algorithms. In this study, by constructing a machine learning model, the influencing factors of construction engineering costs are explored, and optimization methods are applied to improve the accuracy and efficiency of cost management. The application of machine learning models in the cost prediction of construction engineering can effectively improve the accuracy of prediction, reduce project cost risks, and provide a scientific basis for decision-making.

Construction engineering; Cost prediction; Machine learning; Optimization model; Cost management