Neural Network and Econometric-Based Utility Parameter Model for Cost Management of Building Projects.
The aim of the study is to develop a project cost center 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...
Published at Proceedings of the 23rd IBIMA conference on Vision 2020: Sustainable Growth, Economic Development, and Global Competitiveness to be held in Valencia, Spain 13-14 May 2014
Published in 2014
Amusan, L.M.,Fagbenle, O.I.,Mosaku, T.O., Ayo, C.K.,Owolabi, J.D., Omuh I.O., Tunji-Olayeni, P.F., Ogunde, A.O and Peter , J.N.
Omuh Ignatius » Ignatius Omuh is currently a lecturer in the department of Building Technology Covenant University, Ota. He attended the University of Jos, where he obtained a Bachelor’s degree in Building and subsequently a Master’s degree in Construction technology. He has a passion for practicing his disciple and as a result spent some years on the field before venturing into academics. His research... view full profile
Neural Network-Econometric Entropy-Based Model For Project Cost Adjudication System In Residential Building Project Procurement.
Recycling Fine Sandcrete Block Waste (Fsbw) As Fine Aggregate In The Production Of Sandcrete Blocks.
An Examination of Estate Surveyors and Valuers’ Perception of Flood Risk on Residential Property Value in Lagos State, Nigeria
A comparative study of the entrepreneurial characteristics of Architecture and Building Students: Evidences from a developing economy