DocumentCode
533041
Title
Application research of SOFM in building project cost
Author
Guang-Li, Feng ; Wen-Juan, Zhu
Author_Institution
Sch. of Comput. Sci. & Technol., Henan Inst. of Eng., Zhengzhou, China
Volume
10
fYear
2010
fDate
22-24 Oct. 2010
Abstract
Currently, the errors in estimation method of the construction project cost lead to the phenomena of “budgetary estimate over estimate, budget over budgetary estimate and final accounts over budget”, which perplexes the investment profits of construction project. To solve the problem, this paper makes a study on the construction project cost by using SOFM neural network, establishes SOFM network model and verifies its feasibility based on the calculations and analysis of experimental data.
Keywords
budgeting; construction industry; costing; financial data processing; investment; profitability; project management; self-organising feature maps; SOFM neural network; budgetary estimate; building project cost; estimation method; investment profits; Aluminum; Artificial neural networks; Concrete; Organizing; Steel; SOFM; building construction; feature; neural network; project cost estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Application and System Modeling (ICCASM), 2010 International Conference on
Conference_Location
Taiyuan
Print_ISBN
978-1-4244-7235-2
Electronic_ISBN
978-1-4244-7237-6
Type
conf
DOI
10.1109/ICCASM.2010.5622725
Filename
5622725
Link To Document