000			01242cam a2200265 4500
001			ABS65903
008			021001n2002 000 0 eng u
035			_a(Sirsi) u119954
100			_aEmsley, M.W.
245			_aData modelling and the application of a neural network approach to the prediction of total construction costs
260			_c2002
490			_aConstruction Management and Economics _v 20(6) 2002, 465-472 (8)
520			_aDescribes the development of neural network models of total construction project cost based on data from nearly 300 building projects using real-life data from project files and data obtained from the Building Cost Information Service (BCIS). Shows that the major benefit of the neural network approach is the ability of neural networks to model the non-linearity of the cost data. Further analyses will result in even more reliable models. Tables and references. [Taken from journal abstract].
590			_aABS
650			_aCONSTRUCTION COSTS
650			_aCOST MODELLING
650			_aNEURAL NETWORKS
650			_aBCIS
690			_aBUILT ENVIRONMENT-BUILDING COSTS
700			_aLowe, D.J.
700			_aDuff, A.R.
700			_aHarding, A
700			_aHickson, A
942			_n0
999			_c71275 _d71275