Amusan, L. M. and Ayo, C. K. and Mosaku, T. O. and Fagbenle, Olabosipo I. and Owolabi, J. D and Omuh, I. O. and Tunji-Olayeni, P .F and Ogunde, Ayodeji and Peter, Nkolika Joy (2014) NEURAL NETWORK AND ECONOMETRIC-BASED UTILITY PARAMETER MODEL FOR COST MANAGEMENT OF BUILDING PROJECTS. In: International Business Information Management Conference, 13-14 May 2014, Valencia, Spain.
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Abstract
The aim of the study is to develop a project cost centre utility parameter-based econometric model that incorporates econometric parameters using neural network. Construction cost of residential building projects was used in this study. Random sampling technique was used to select projects completed between 2009 and 2011 , and were examined for their cost centres validity. Final construction cost (As-built cost) of selected four hundred (400) projects were further modified with econometric factors like inflation index, cost entropy and entropy factor and were used to form and train neural network Back propagation neural network algorithm used. Probability technique was used to generate risk impact matrix and influence of entropy on the cost centres. In this study a parametric model similar hedonic models was generated using the utility parameters within the early and late elemental dichotomy. The developed model was validated through comparative analysis ofthe econometric loading attributes of the variables involved, using Monte Carlo technique of SPSS software by extracting the resultant contingency coefficient. This attribute would help client, project team and contractor manage cost of construction, also, it would enable a builder or contactor load cost implication of an unseen circumstance even on occasion of deferred cost reimbursement and help
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | Neural network, Model, Propagation, Econometric, Escalator, Risk, Dichotomy, Entropy |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TH Building construction |
| Divisions: | Faculty of Engineering, Science and Mathematics > School of Civil Engineering and the Environment Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science |
| Depositing User: | Mrs Patricia Nwokealisi |
| Date Deposited: | 17 Jan 2019 10:40 |
| Last Modified: | 17 Jan 2019 10:40 |
| URI: | http://eprints.covenantuniversity.edu.ng/id/eprint/12299 |
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