Utilization of Artificial Neural Network
DOI:
https://doi.org/10.21625/archive.v2i1.232Keywords:
Artificial neural networks, Construction, Management, Urban projectsAbstract
Artificial neural networks (NN), have been applied to many construction management problems in urban projects. NN have showed some degree of success so the objective of this paper is to highlight some applications of this tool in the construction management field to help specialists find optimum solutions. A brief description of the input and output variables for each mentioned problem was illustrated in addition to the number and type of data set collected to train and test the neural network performance then the percentage error for each developed model was pointed out to demonstrate its accuracy.References
- Chua D. K.H., Loh P. K., Kog Y.C. & Jaselskis E. J. “Model for Construction Budget Performance -
Neural Network Approach” Journal of construction Engineering and Management, Vol. 123, No. 3,
September 1997.
- Chung Li. C. & J. M. Skibniewski “Estimating construction Productivity: Neural Network Based
Approach” Journal of construction Engineering and Management, Vol. 8, No. 2, April 1994.
- E. Siami-Irdemoosa, S.R. Dindarloo, M. Sharifzadeh, AiC, 58, 85 –94 (2015)
- F. Costantino, G.D. Gravio, F. Nonino, IJPM, 33, 1744 –1754 (2015)
- H. Dany, A. Simaan & M. Kevin “Integrating Neural Networks with Special Purpose Simulation”
Proceedings of the 1998 Winter simulation Conference.
- Hegazy T. & Ayed A. “Neural Network Model for Parametric Cost Estimation of Highway Projects”
Journal of Construction Engineering and Management, Vol. 124, No. 3, May/June 1998.
- Li H., Shen L. Y. & Love P. E. D. “ANN-Based Mark-up Estimation System with Self-Explanatory
Capacities” Journal of Construction Engineering and Management, Vol. 125, No. 3, May/June 1999.
- Lowe D., Hickson A., Harding A., Emsley M. & Duff R. “The Cost of Procurement: A Neural Network
Approach”, paper presented to CIB W78 International Conference, Iceland, 28 -30 June 2000.
- Lowe D., Hickson A., Harding A., Emsley M. & Duff R. “The Role of Neural Networks in Early Stage
Cost Estimation in the 21st Century” paper presented to COBRA conference 1999.
- M. Anthony, DAM, 156, 883–902 (2008)
- M. Li, W. Chen, PP, 25, 1212–1217 (2012)
- Moselhi O., Hegazy T. & Fazio P. “Neural Networks as Tools in Construction” Journal of
construction Engineering and Management, Vo l. 117, No. 4, December 1991.
- Pearce A. R., Gregory R. A. & Williams L. “Range Estimating for Risk Management using Artificial
Neural Networks”.
- Sonmez R. & Rowings J. E. “Construction Labor Productivity Modeling with Neural Networks”
Journal of Construction Engineering and Management, Vol. 124, No. 6, November/December 1998.
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