An MLP-P1model for the scattering coefficient estimationfrom total incident radiation measurements

Gabriel Ribeiro Padilha, Tauana Ohland dos Santos, Pedro Henrique de Almeida Konzen

Resumo


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

Texto completo:

PDF (English)

Referências


Frank, M., Seaid, M., Klar, A., Pinnau, R. and Th ̈ommes, G. A comparison of approximatemodels for radiation in gas turbines,Progress in Computational Fluid Dynamics, 4:191–197,2004. DOI:10.1504/PCFD.2004.004087.

Haykin, S.Redes neurais: princ ́ıpios e pr ́atica, 2a. edi ̧c ̃ao. Bookman, Porto Alegre, 2007.

Larsen, E. W., Th ̈ommes, G., Klar, A., Sei ̈ad, M. and G ̈otz, T. SimplifiedPNapproximationsto the equations of radiative heat transfer and applications,Journal of Computational Physics,183:652–675, 2002. DOI:10.1006/jcph.2002.7210.

Logg, A., Mardal, K.-A., Wells, G. N., et al. Automated Solution of Differential Equationsby the Finite Element Method. InLecture Notes in Computational Science and Engineering.Springer, volume 84, 2021. DOI: 10.1007/978-3-642-23099-8.

Modest, M. F.Radiative Heat Transfer, 3a. edi ̧c ̃ao. Elsevier, New York, 2013.[6] Pedregosa, F., Varoquaux, G., Gramfort, A., et al. Scikit-learn: Machine Learning in Python,Journal of Machine Learning Research, 12:2825–2830, 2011.


Apontamentos

  • Não há apontamentos.


SBMAC - Sociedade de Matemática Aplicada e Computacional
Edifício Medical Center - Rua Maestro João Seppe, nº. 900, 16º. andar - Sala 163 | São Carlos/SP - CEP: 13561-120
 


Normas para publicação | Contato