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Construction Management and Economics Volume 14, 1996 - Issue 5
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Original Articles

The use of artificial neural networks in construction management: a review

A. Halim Boussabaine
Pages 427-436 | Published online: 21 Oct 2010

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Aaditya Pratap Sanyal & Shankha Pratim Bhattacharya. (2024) A comparative analysis between CBR based prediction models and MRA models for high-rise construction delay prediction. International Journal of Construction Management 24:2, pages 124-136.
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J. L. Dias, A. Silva, C. Chai, P. L. Gaspar & J. de Brito. (2014) Neural networks applied to service life prediction of exterior painted surfaces. Building Research & Information 42:3, pages 371-380.
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A. Silva, J. L. Dias, P. L. Gaspar & J. de Brito. (2011) Service life prediction models for exterior stone cladding. Building Research & Information 39:6, pages 637-653.
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S. Umit Dikmen & Murat Sonmez. (2011) An Artificial Neural Networks Model for the Estimation of Formwork Labour. Journal of Civil Engineering and Management 17:3, pages 340-347.
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Goh Bee Hua. (2008) The state of applications of quantitative analysis techniques to construction economics and management (1983 to 2006). Construction Management and Economics 26:5, pages 485-497.
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John Rooke, Ella-Mae Molloy, Murray Sinclair, Lauri Koskela, Mohan Siriwardena, Mike Kagioglou & Carys Siemieniuch. (2008) Models and metaphors: complexity theory and through-life management in the built environment. Architectural Engineering and Design Management 4:1, pages 47-57.
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Krzysztof Schabowicz & Bozena Hola. (2007) Mathematical‐neural model for assessing productivity of earthmoving machinery. Journal of Civil Engineering and Management 13:1, pages 47-54.
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Obaid Saad Al‐Sobiei, David Arditi & Gul Polat. (2005) Predicting the risk of contractor default in Saudi Arabia utilizing artificial neural network (ANN) and genetic algorithm (GA) techniques. Construction Management and Economics 23:4, pages 423-430.
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A.H. Boussabaine & A.P. Kaka. (1998) A neural networks approach for cost flow forecasting. Construction Management and Economics 16:4, pages 471-479.
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