Onifade, M.K. and Oroye, O. A.
Artificial neural networks (ANN) have found wide application to a variety of problems in project and construction management. This paper describes how ANN can be applied in the areas of construction, project monitory and control, which is capable of predicting project performance and productivity such as cost/budget variance, risk analysis and scheduling based on observations made from the project environment of some firms in Lagos State. The data obtained from the administered questionnaire were analyzed through descriptive and factor analysis. The analysis shows that ANN has significant effect on project productivity, schedule and cost estimation, and risk optimization. It was also observed that application of ANN in project management has not been considered in most firms in the country as the traditional methods such as Critical Path Analysis, PERT are still well utilized. It can be concluded that artificial neural network technique if applied in construction and project management is productive. Read full PDF
Keywords: Artificial neural networks, Project Management; productivity, Schedule Control, Cost Control, optimization
 Garrett, J. H., 1994, where and why artificial neural networks are applicable in civil engineering, Special Issue: J. Comp. in Civ. Eng., ASCE 8(2), 129-130.
 James D., 2017, An introduction to Artificial Neural Networks (with example), Accessed 27 October 2019, available from: https://medium.com/@jamesdacombe/an-introduction-to-artificial-neural-networks-withexample-ad459bb6941b
 Megha J. and Pathak, K.K., 2014, Applications of Artificial Neural Network in Construction Engineering and Management – A Review, Volume 2 Issue 3,pp 134-136.
 Ahmed H., 2017, Introduction to Artificial Intelligence, Accessed 27 October 2019, available from: https://www.researchgate.net/publication/325581483
 Boussabaine, A.H. and Kaka A.P., 1998. A neural networks approach for cost flow forecasting. Construction Management and Economics, 16, pp 471 -479.
 Murtaza, M. B. and Fisher, D. J., 1994, Neuromodex: Neural network system for modular construction decision, Journal of Computing in Civil Engineering, ASCE, 8 (2), 221–3.
 Cheung S.O., Tam C.M., and Harris F.C., 2000, Project dispute resolution satisfaction classification through neural network. The Journal of Management in Engineering, 16(1), 70-79.
 Gunaydın H. Murat , Zeynep Do S.gan, 2004, A neural network approach for early cost estimation of structural systems of buildings, International Journal of Project Management vol.22,595–602.
 ElSawy I., Hosny H. and Razek M. A., 1996, A Neural Network Model for Construction Projects Site Overhead Cost Estimating in Egypt Building and Environment;.31(4), 373–383.
 Sodikov J., 2005, Cost Estimation Of Highway Projects In Developing Countries Artificial Neural Network Approach Journal Of The Eastern Asia Society For Transportation Studies, Vol. 6,1036 – 1047.