2005, Volume 7, Issue 10
Strategic Study of CAE >> 2005, Volume 7, Issue 10
Study of Forecast of Building Cost Based on Neural Network
School of Economics, Wuhan University of Technology, Wuhan 430070, China
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Abstract
In the constantly changing marketing economy, it has become an urgent task for construction industry to find a rapid, simple and practical way to organize construction project budget. To solve this problem, this paper adopts the model of the back-propagation neural network, takes the features of construction as input variables, trains the network using actual data as samples and optimizes the network structure by contribution analysis. It shows the validity of the model in the forecast of construction project budget.
Keywords
References
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