Izvorni znanstveni članak
https://doi.org/10.1080/00051144.2024.2372747
Dynamic control method of construction cost based on fuzzy neural network
Qiao hui Liu
; College of Engineering, Zheng zhou Technology and Business University, Zhengzhou, People’s Republic of China
*
Qian Cao
; College of Engineering, Zheng zhou Technology and Business University, Zhengzhou, People’s Republic of China
* Dopisni autor.
Sažetak
For improving the dynamic management performance of construction cost, the dynamic control model of cost of construction based on fuzzy neural network is studied. Consider the effect
of resource allocation, construction progress and construction quality on the cost of project in
construction stage, and build the cost control index for the project in stage of construction. The
fuzzy logic model is used in selecting the main cost related indicators from project cost control
index system at the construction stage as input neurons of the BP NN, and the BP neural network
is employed to output the results of prediction of cost at the construction stage. The project cost
prediction results are set as the data basis for the dynamic control of the project cost, determine
the most optimistic cost, the most probable cost and the most pessimistic cost of project cost in
stage of construction through key chain method, and set buffers to realize dynamic control of
project cost in stages of construction. The evaluation results prove that the developed method
will be able to accurately predict the project cost in stages of construction, and the cost saved in
the construction phase of the project is more than 300000 yuan.
Ključne riječi
Fuzzy neural network; construction stage; project cost; dynamic control method; fuzzy logic method; key chain
Hrčak ID:
326330
URI
Datum izdavanja:
7.7.2024.
Posjeta: 0 *