An MLP-P1model for indirect temperature predictions fromtotal incident radiation measurements

Autores

  • Tauana Ohland dos Santos IME/UFRGS
  • Gabriel Ribeiro Padilha ME/UFRGS
  • Pedro Henrique de Almeida Konzen IME/UFRGS

Resumo

n this work we present an artificial neural network (ANN) model for indirect temperaturepredictions from total incident radiation measurements in a given participating media. The inverseradiative heat transfer problem is set as a regression problem that has the total incident radiationmeasurements as dependent variables. [...]

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Referências

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.[5] Modest, M. F.Radiative Heat Transfer, 3a. edi ̧c ̃ao. Elsevier, New York, 2013.

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Publicado

2021-12-20

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