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Modeling of thermodynamic properties of refrigerants using artificial neural networks and genetic algorithm.

Author(s) : MOHEBBI A., TAHERI M., NOOSHIRAVANI A.

Type of monograph: Book

Summary

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.
Table of contents: artificial neural networks; genetic algorithm; software for Neural Network and Genetic Algorithm Modeling; determination of thermodynamic properties of pure refrigerants using artificial neural networks; derivation of empirical equations for thermodynamic properties of refrigerants using artificial neural networks; application of neural networks for refrigerant mixtures; other applications of ANNs for refrigerants.

Details

  • Original title: Modeling of thermodynamic properties of refrigerants using artificial neural networks and genetic algorithm.
  • Record ID : 30003564
  • Languages: English
  • Publication: Nova Science - United states/United states
  • Publication date: 2011
  • Collection:
  • ISBN: 9781617282881
  • Document available for consultation in the library of the IIR headquarters only.

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