Abstract
Construction cost budget is very important for enterprises, and its accuracy directly affects the profit rate of construction enterprises. An important factor affecting the accuracy of construction cost is the price fluctuation of building materials. In this paper, taking construction engineering and building materials as an example, fuzzy control and artificial neural network are used to predict the price of building materials. The results show that: artificial neural network can effectively predict the future price trend of building materials. Thus, the prediction method can provide the price trend of building materials for the project cost budget, and improve the accuracy of the cost budget.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
