Beschreibung
The application of ANN systems is growing rapidly in the financial and manufacturing sectors. Neural network systems offer several advantages over traditional methods for the prediction of construction projects' cost and duration. Therefore, a neural network that can help project estimators to decide the preliminary cost of a highway construction project is proposed here. Effective cost estimating depends heavily on experience. Accurate preliminary cost estimates should lead to a better construction market, better informed and confident client, efficient control, and a better return on investment
Autorenporträt
Assist Prof. Dr. Faiq M. SarhanPh.D. Civil engineering, Construction Management, Baghdad University-Iraq.Reviewer scientifically supported in the KSCE Journal of Civil EngineeringEditorial Board Member of Civil Engineering and Urban Planning: An International Journal.Member of PMI(Project Management Institute)Professional trainer of MS-Project
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