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Chan, S L (2002) Responses of selected economic indicators to construction output shocks: the case of Singapore. Construction Management and Economics, 20(06), 523-33.

Emsley, M W, Lowe, D J, Duff, A R, Harding, A and Hickson, A (2002) Data modelling and the application of a neural network approach to the prediction of total construction costs. Construction Management and Economics, 20(06), 465-72.

  • Type: Journal Article
  • Keywords: cost modelling; neural networks; linear regression analysis
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446190210151050
  • Abstract:

    Neural network cost models have been developed using data collected from nearly 300 building projects. Data were collected from predominantly primary sources using real-life data contained in project files, with some data obtained from the Building Cost Information Service, supplemented with further information, and some from a questionnaire distributed nationwide. The data collected included final account sums and, so that the model could evaluate the total cost to the client, clients’ external and internal costs, in addition to construction costs. Models based on linear regression techniques have been used as a benchmark for evaluation of the neural network models. The results showed that the major benefit of the neural network approach was the ability of neural networks to model the nonlinearity in the data. The ’best’ model obtained so far gives a mean absolute percentage error (MAPE) of 16.6%, which includes a percentage (unknown) for client changes. This compares favourably with traditional estimating where values of MAPE between 20.8% and 27.9% have been reported. However, it is anticipated that further analyses will result in the development of even more reliable models

Goulding, J S and Al-Shawi, M (2002) Generic and specific IT training: a process protocol model for construction. Construction Management and Economics, 20(06), 493-505.

Lingard, H and Sublet, A (2002) The impact of job and organizational demands on marital or relationship satisfaction and conflict among Australia civil engineers. Construction Management and Economics, 20(06), 507-21.

Marzouk, M and Moselhi, O (2002) Simulation optimization for earthmoving operations using genetic algorithms. Construction Management and Economics, 20(06), 535-43.

Ngai, S C, Drew, D S, Low, H P and Skitmore, M (2002) A theoretical framework for determining the minimum number of bidders in construction bidding competitions. Construction Management and Economics, 20(06), 473-82.

Shi, J J (2002) Three methods for verifying and validating the simulation of a construction operation. Construction Management and Economics, 20(06), 483-91.