Data modelling and the application of a neural network approach to the prediction of total construction costs
Series: Construction Management and Economics ; 20(6) 2002, 465-472 (8)Publication details: 2002Subject(s): Summary: Describes 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].| Item type | Current library | Call number | Copy number | Status | Barcode | |
|---|---|---|---|---|---|---|
| Journal article | London Journal article | ABS65903 (Browse shelf(Opens below)) | 1 | Available | 119954-1001 |
Describes 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].