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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
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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
Biografía del autor
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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Project Management and Artificial Neural Networks
Verlag:
LAP LAMBERT Academic Publishing, 2015
ISBN 10: 3659546089
ISBN 13: 9783659546082
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Softcover
Anbieter: moluna, Greven, Deutschland
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Project Management and Artificial Neural Networks
Verlag:
LAP LAMBERT Academic Publishing Jan 2015, 2015
ISBN 10: 3659546089
ISBN 13: 9783659546082
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware -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 investmentBooks on Demand GmbH, Überseering 33, 22297 Hamburg 288 pp. Englisch. Artikel-Nr. 9783659546082
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