Affiliations: [a] Department Of Architecture Engineering, Shijiazhuang University of Applied Technology, Shijiazhuang, Hebei, China
| [b] School of Shijiazhuang Institute of Technology, Shijiazhuang University, Shijiazhuang, Hebei, China
Correspondence:
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Corresponding author. Qiulan Lu, School of Shijiazhuang Institute of Technology, Shijiazhuang University, Shijiazhuang, Hebei, China. E-mail: [email protected].
Abstract: The construction of construction projects is an important industry of national social and economic development, and price management control is an important part of construction projects, and has become an important factor for major construction companies in China to manage construction projects. At present, the internal construction price management is not the best, nor the most ideal. Few investments exceed the budget, mainly due to defects in effective construction price management, lack of advanced technology and lack of prospects for prepayment, which make it difficult to match the actual and expected results of construction project price management. The actual results are always unsatisfactory. In this paper, the engineering cost estimation model is studied, and the neural network comprehensive prediction model is established to improve the accuracy and application technology of the prediction model. By using the building of BIM technology and neural network model, and effectively using the price advantage of ICT, it is used in the construction industry, and the cost is strictly controlled, so as to bring huge profits to the enterprise and promote the development of the enterprise.
Keywords: BIM technology, neural network model, construction engineering, cost management
