Optimization Control of Construction Engineering Management Projects Based on Deep Learning Algorithm

Construction projects generally have the characteristics of large scale, many construction processes and complicated handover, and all these links may have a certain impact on the quality of engineering construction. For the traditional construction project management, the management efficiency and management level are generally low, because the open management mode applied in it will lead to a series of problems. In this paper, DL (Deep learning) algorithm is applied to the optimal control of construction project management, and the whole process cost control strategy of construction project based on DNN (Deep neural network) is constructed, so as to accurately calculate the project budget, realize the dynamic management of the whole construction process, and further promote the sustainable development of construction enterprises. Managers should strictly control all links, accurately calculate the project budget, and achieve the goal of cost control in the whole process of construction projects. At the same time, it is necessary to strengthen the comprehensive management of construction projects, reasonably control the project cost, enhance the economic benefits of the construction industry, and ensure the healthy and stable development of the construction industry.