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International Journal of Frontiers in Engineering Technology, 2023, 5(1); doi: 10.25236/IJFET.2023.050109.

Research on Optimization of Construction Project Investment Evaluation Based on Big Data


Yin Bai

Corresponding Author:
Yin Bai

Liaoning Institute of Science and Technology, Benxi, 117004, China


The evaluation and optimization of construction project investment is ultimately to evaluate the risks and benefits of the project, and the evaluation indicators and standards must take into account China's economy and enterprises. The risk factors that affect the investment projects of construction projects come from various aspects. The cost of the project depends on the implementation process and investigation methods in the project operation. In this paper, the optimization research of construction project investment evaluation based on big data is carried out. This paper introduces a risk assessment method based on BPNN (Back propagation neural network). We normalized the attribute values of various indicators used for project risk assessment, and sent them as input samples from the input layer. After being processed layer by layer by hidden layers, they were transmitted to the output layer, and finally the output of the system was taken as the evaluation target. The author verified it with an example, which shows that it is feasible to use BPNN to evaluate and optimize the construction project investment.


Big data; Construction project; Investment evaluation

Cite This Paper

Yin Bai. Research on Optimization of Construction Project Investment Evaluation Based on Big Data. International Journal of Frontiers in Engineering Technology (2023), Vol. 5, Issue 1: 57-61. https://doi.org/10.25236/IJFET.2023.050109.


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