Econometric Entropy - Neural Network-Based Model for Project Cost Adjudication System in Residential Building Project Procurement

Amusan, L. M. and Mosaku, T. O. and Joshua, Opeyemi and Ayo, C. K. and Omuh, I. O. and Adeboye, A. B. (2013) Econometric Entropy - Neural Network-Based Model for Project Cost Adjudication System in Residential Building Project Procurement. International Journal of Education and Research, 1 (2). pp. 1-19. ISSN 2201-6333

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Abstract

The main aim of this research work is to develop a Neural network –Econometric –Entropy-Based Project Adjudication Model for Residential Building Project Procurement. An econometric model which incorporates exigency escalator and inflation buffer was generated in this study, this is accompanied with risk entropy matrix that could aid determination of the extent of risk implication on the project elements at tendering and construction stages of building projects. The model incorporates residential building elemental dichotomies within the context of early and late constructible elements with speculated prediction period, taken into consideration the present value of cost. This attributes would enable a builder or contactor load cost implication of an unseen circumstance even on occasion of deferred cost reimbursement

Item Type:	Article
Uncontrolled Keywords:	Neural network, Econometric, Model, Escalator, Risk, Dichotomy, Adjudication, Entropy
Subjects:	N Fine Arts > NA Architecture 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
Depositing User:	Mr Solomon Bayoko
Date Deposited:	17 Dec 2014 09:27
Last Modified:	17 Dec 2014 09:43
URI:	http://eprints.covenantuniversity.edu.ng/id/eprint/3093

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