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
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
EUR 9,70 per la spedizione da Germania a Italia
Destinazione, tempi e costiDa: moluna, Greven, Germania
Condizione: New. Codice articolo 11805958
Quantità: Più di 20 disponibili
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - 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 investment 288 pp. Englisch. Codice articolo 9783659546082
Quantità: 2 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9783659546082
Quantità: 1 disponibili
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: 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. Codice articolo 9783659546082
Quantità: 2 disponibili