Evaluation of artificial neural network in data reduction for a natural convection conjugate heat transfer problem in an inverse approach: experiments combined with CFD solutions-Reference-Cited by-同舟云学术

Evaluation of artificial neural network in data reduction for a natural convection conjugate heat transfer problem in an inverse approach: experiments combined with CFD solutions

Published:2020-03-27 Issue:1 Volume:45 Page:
ISSN:0256-2499
Container-title:Sādhanā
language:en
Short-container-title:Sādhanā

Author:

Kumar M K Harsha,Vishweshwara P S,Gnanasekaran N

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://link.springer.com/content/pdf/10.1007/s12046-020-1303-x.pdf

Reference30 articles.

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3. Cui M, Yang K, Xu X L, Wang S D and Gao X W 2016 A modified Levenberg–Marquardt algorithm for simultaneous estimation of multi-parameters of boundary heat flux by solving transient nonlinear inverse heat conduction problems. Int. J. Heat Mass Transf. 97: 908–916

4. Dantas L B, Orlande H R B and Cotta R M 2003 An inverse problem of parameter estimation for heat and mass transfer in capillary porous media. Int. J. Heat Mass Transf. 46: 1587–1596

5. Huang C H and Wang S P 1999 A three-dimensional inverse heat conduction problem in estimating surface heat flux by conjugate gradient method. Int. J. Heat Mass Transf. 42: 3387–3403

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