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 reimbursemen
