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Refrigeration system simulation with ANN-based component models.

Simulation d'un système frigorifique à l'aide de réseaux neuronaux artificiels.

Auteurs : ZHANG C., DING G.

Résumé

System simulation is a valuable approach to the design of refrigerating and air-conditioning appliances. In the paper, a refrigeration system simulation method with ANN (artificial neural network)-based component models was developed. At first, ANN is used to construct the component model base instead of the traditional modelling method. Proper inputs and outputs of ANN component models are selected according to the traditional first-principle models and system simulation algorithm. Then the trained ANN component models are substituted into the traditional system simulation algorithm for system performance prediction. Finally, a case study shows that high precision is reached in component modelling and system performance prediction. Therefore, the method is fast and accurate for refrigeration system design.

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  • Prix public

    20 €

  • Prix membre*

    Gratuit

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Détails

  • Titre original : Refrigeration system simulation with ANN-based component models.
  • Identifiant de la fiche : 2004-1106
  • Langues : Anglais
  • Source : 21st IIR International Congress of Refrigeration: Serving the Needs of Mankind.
  • Date d'édition : 17/08/2003

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