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| Titel: |
A neural networks approach for cost flow forecasting |
| Auteur: |
Boussabaine, A. H. Kaka, A. P. |
| Verschenen in: |
Construction management & economics |
| Paginering: | Jaargang 16 (1998) nr. 4 pagina's 471-479 |
| Jaar: |
1998-07-01 |
| Inhoud: |
Artificial neural networks, which simulate neuronal systems of the brain, are useful methods that have attracted the attention of researchers in many disciplinary areas. They have many advantages over traditional methods in situations where the input-output relationship of the system under study is not explicitly known. This paper investigates the feasibility of using neural networks for predicting the cost flow of construction projects, explains the need for cost flow forecasting, and demonstrates the limitation of the existing models. It then introduces neural networks as an alternative approach to those mathematical and statistical methods. The method used in collecting data and modelling the cost flow is described. Results of the testing are presented and discussed. |
| Uitgever: |
Routledge |
| Bronbestand: |
Elektronische Wetenschappelijke Tijdschriften |
Details van artikel 1 van 13 gevonden artikelen
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