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Communication Dans Un Congrès Année : 2006

Dynamic Compact Thermal Model with Neural Networks for Radar Applications

H. Polaert
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C. Tolant
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  • PersonId : 842497
Ph. Eudeline
  • Fonction : Auteur
  • PersonId : 842498

Résumé

This article deals with the creation of a compact thermal model. In this aim, we apply some well-known methods such as FEM model reduction and identification of RC networks. To go further than already existing approaches, we also introduce the use of artificial neural networks (ANNs) to cope with nonlinearities which may appear in thermal phenomenons. A new hybrid model, trying to gather the advantages of ANNs and RC networks, is applied on a simple thermal problem. The need of samples will also lead us to carry out, in parallel, the FEM model reduction. The reduced FEM model will then be used to generate the required databases and validate the compact model results.
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Dates et versions

hal-00171366 , version 1 (12-09-2007)

Identifiants

  • HAL Id : hal-00171366 , version 1

Citer

G. Mallet, Ph. Leray, H. Polaert, C. Tolant, Ph. Eudeline. Dynamic Compact Thermal Model with Neural Networks for Radar Applications. THERMINIC 2006, Sep 2006, Nice, France. pp.118-122. ⟨hal-00171366⟩
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