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Start Over Search Limiters Academic (Peer-Reviewed) Journals Topic heat exchangers Publication Type Books
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3. Neural Networks for Cost Estimation of Shell and Tube Heat Exchangers.

Author

Duran, Orlando, Rodriguez, Nibaldo, and Consalter, Luiz Airton

Subjects
ARTIFICIAL neural networks, COST estimates, HEAT exchangers, DECISION making, COST control
Abstract

The objective of this paper is to develop and test a model of cost estimating for the shell and tube heat exchangers in the early design phase via the application of artificial neural networks (ANN). An ANN model can help the designers to make decisions at the early phases of the design process. With an ANN model, it is possible to obtain a fairly accurate prediction, even when enough and adequate information is not available in the early stages of the design process. This model proved that neural networks are capable of reducing uncertainties related to the cost estimation of a shell and tube heat exchangers. [ABSTRACT FROM AUTHOR]

Published
2008