A computer-based cost prediction model for institutional building projects in Nigeria

Kabir Bala · Shehu Ahmadu Bustani · Baba Shehu Waziri

31 citations0/0 files storedJournal of Engineering Design and Technology

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Construction Project Management and Performance Neural Networks and Applications BIM and Construction Integration

Abstract

Purpose – The purpose of this study was develop a computer-based cost prediction model for institutional building projects in Nigeria through the use of artificial neural network (ANN) technique. The back-propagation network learns by example and provides good prediction to novel cases. Design/methodology/approach – The input variables were derived from related works with modification and advices from professionals through a field survey. Two hundred and sixty completed project data were used for training and development of the ANN model. Back-propagation algorithm using the gradient descent delta learning rule with a learning coefficient of 0.4 was used. The input layer of the model comprised of nine variables; building height, compactness of building, construction duration, external wall area, gross floor area, number of floors, proportion of opening on external walls, location index and time index. Findings – Several multi-layer perceptron networks were developed with varying architecture from which the network 9-7-5-1 was selected. The performance of the model over the validation sample revealed that the model has a mean absolute per cent error of 5.4 per cent and average error of prediction of −2.5 per cent over the sample. The ANN model was considered to be effective for construction cost prediction. Research limitations/implications – The model may not be suitable for other building types because of the uniqueness of such facility even though significant difference is not anticipated for buildings such as commercial and residential. The models were evaluated based on the prediction errors; other means of evaluation were not used. Originality/value – The study thus provides a simple, yet effective means of predicting construction costs of institutional building projects in Nigeria using an ANN model.

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References

1998Forecasting with artificial neural networks:1999Critical Success Factors for Different Project Objectives 2000Analysis of factors influencing project cost estimating practice 2006Predicting Construction Cost Using Multiple Regression Techniques 1998Regularization Neural Network for Construction Cost Estimation 2008Web-based conceptual cost estimates for construction projects using Evolutionary Fuzzy Neural Inference Model 2004Conceptual cost estimation of building projects with regression analysis and neural networks 2010Early Stage Cost Estimation of Buildings Construction Projects using Artificial Neural Networks

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