Communication Dans Un Congrès Année : 2003

Black box modelling of HVAC system : improving the performances of neural networks

Résumé

This paper deals with neural networks modelling of HVAC systems. In order to increase the neural networks performances, a method based on sensitivity analysis is applied. The same technique is also used to compute the relevance of each input. To avoid the prediction errors in dry coil conditions, a metamodel for each capacity is derived from the neural networks. The regression coefficients of the polynomial forms are identified through the use of spectral analysis. These methods based on sensitivity and spectral analysis lead to an optimized neural network model, as regard to its architecture and predictions.

Mots clés

Fichier principal
Vignette du fichier
Submitted-BS03_0347_354.pdf (276.72 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Licence
Loading...

Dates et versions

hal-00768385 , version 1 (21-12-2012)

Licence

Identifiants

Citer

Eric Fock, Thierry A. Mara, Philippe Lauret, Harry Boyer. Black box modelling of HVAC system : improving the performances of neural networks. Eighth International IBPSA Conference, Aug 2003, Eindhoven, Netherlands. pp.347-354. ⟨hal-00768385⟩
152 Consultations
189 Téléchargements

Altmetric

Partager

  • More