Num Pages: 102 pages, tables & charts. BIC Classification: TDC; UYQN. Category: (UP) Postgraduate, Research & Scholarly. Dimension: 229 x 154 x 7. Weight in Grams: 188. . 2010. Paperback. . . . .

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Bibliographic Details

Title: Modeling of Thermodynamic Properties of Refrigerants Using Artifical Neural Networks & Genetic Algorithm
Publisher: Nova Science Publishers Inc
Publication Date: 2010
Language: English
ISBN 10: 161728288X
ISBN 13: 9781617282881
Binding: Soft cover
Condition: New

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Synopsis

Thermodynamic analysis of the refrigeration system is very complex because of the thermodynamic properties equations of working fluids, involving the solution of complex differential equations. This book provides an alternative simple approach based on artificial neural networks (ANNs) and determines the thermodynamic properties of refrigerants.

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