Articles
Artificial neuronal networks in transitional multidimensional heat conduction
Published 2003-05-01
Keywords
- Neuronal Network
How to Cite
Arias, E. L., García, L. G., Gualdrón, O., & Correa, R. (2003). Artificial neuronal networks in transitional multidimensional heat conduction. Revista UIS Ingenierías, 2(1), 51–61. Retrieved from https://revistas.uis.edu.co/index.php/revistauisingenierias/article/view/2459
Abstract
Neural networks to prediet the multidimensional unsteady-state temperature projile in a solidhave been used; convective and Dirichlet boundmy conditions for the mathematical model wereapplied to salve the model. For computer simulations several neural networks following theMultilayer Perceptron architecture were trained using the Levenberg-Marquardt algorithm. Resultsshowed an excellent agreement between numerical solutions afthe mathematical model and theneural network predictions.
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References
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KARLEKAR, B. Y. Y DESMOND, R. M. Transferencia de Calor. México: McGraw- Hill, 1994. p.610-629
MYERS, G. E. Analytical Methods in Conduction Heat Transfer. Estados Unidos: McGraw-Hill, 1971. p.493
BAUGHMAN, D. Richardy LID, Yin An. Neural Networks in Bioprocessing and Chemical Engineering. San Diego, California: Acadernic Press, 1995. p.479
BULSARI, A. B. (editor). Neural Networks for Chemical Engineers. Amsterdam: El sevier Scíence RY., 1995. p.252-258
CARSLAW, H. S. y JAEGER, J. C. Conduction of Heatin Solids. Londres: Oxford University Press, 1959. p.510
HIMMELBLAU, D. M. YB1SCHOFF, K. B. Process Analysis and Simulation: Detenninistic Systems. Estados Unidos: John Wiley & Sons Inc, 1968. p.42-47
KARLEKAR, B. Y. Y DESMOND, R. M. Transferencia de Calor. México: McGraw- Hill, 1994. p.610-629
MYERS, G. E. Analytical Methods in Conduction Heat Transfer. Estados Unidos: McGraw-Hill, 1971. p.493