project management artificial neural di alzwainy faiq (4 risultati)

Condizione: New.

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.

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.

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.