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dc.contributor.authorAlqahtani, Ayedh
dc.contributor.authorWhyte, Andrew
dc.identifier.citationAlqahtani, Ayedh and Whyte, Andrew. 2013. Artificial Neural Networks Incorporating Cost Significant Items towards Enhancing Estimation for (life-cycle) Costing of Construction Projects. Australasian Journal of Construction Economics and Building. 13 (3): pp. 51-64.

Industrial application of life-cycle cost analysis (LCCA) is somewhat limited, with techniques deemed overly theoretical, resulting in a reluctance to realise (and pass onto the client) the advantages to be gained from objective LCCA comparison of (sub)component material specifications. To address the need for a user-friendly structured approach to facilitate complex processing, the work described here develops a new, accessible framework for LCCA of construction projects; it acknowledges Artificial Neural Networks (ANNs) to compute the whole-cost(s) of construction and uses the concept of cost significant items (CSI) to identify the main cost factors affecting the accuracy of estimation. ANN is a powerful means to handle non-linear problems and subsequently map relationships between complex input/output data and address uncertainties. A case study documenting 20 building projects was used to test the framework and estimate total running costs accurately. Two methods were used to develop a neural network model; firstly a back-propagation method using MATLAB SOFTWARE; and secondly, spread-sheet optimisation using Microsoft Excel Solver. The best network used 19 hidden nodes, with the tangent sigmoid used as a transfer function for both methods. The results is that in both models, the accuracy of the developed NN model is 1% (via Excel-solver) and 2% (via back-propagation) respectively.

dc.publisherAustralian Institute of Quantity Surveyors
dc.subjectExcel solver
dc.subjectLife Cycle Cost Analysis (LCCA)
dc.subjectCost Significant Items (CSIs)
dc.subjectArtificial Neural Networks (ANNs)
dc.titleArtificial Neural Networks Incorporating Cost Significant Items towards Enhancing Estimation for (life-cycle) Costing of Construction Projects
dc.typeJournal Article
dcterms.source.titleAustralasian Journal of Construction Economics and Building (Online)

This article is published under the Open Access publishing model and distributed under the terms of the Creative Commons Attribution License Please refer to the licence to obtain terms for any further reuse or distribution of this work.

curtin.accessStatusOpen access

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