Open AccessApplication of Artificial Neural Network in Green Building Project Cost Budget
Author(s) -
Zhang Yueyue,
Xiaohong Chen
Publication year - 2021
Publication title -
forest chemicals review
Language(s) - English
Resource type - Journals
ISSN - 1520-0191
DOI - 10.17762/jfcr.vi.45
Subject(s) - artificial neural network , computer science , profit (economics) , cost estimate , operations research , artificial intelligence , engineering , systems engineering , economics , microeconomics
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.