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
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;
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
DOI :
10.1109/ICCASM.2010.5622725
