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Artificial neural networks for inverse heat transfer problems
We present a solution for an inverse heat transfer problem involving internal heat generation using artificial neural networks. The problem involves a heat conduction problem with internal heat source in cylindrical coordinates. The network is a feedforward with backpropagation algorithm. We compare the results with the Levenberg-Marquardt method and discuss advantages and disadvantages. The two methods recover very well the optimum parameters.
Artificial neural networks for inverse heat transfer problems
We present a solution for an inverse heat transfer problem involving internal heat generation using artificial neural networks. The problem involves a heat conduction problem with internal heat source in cylindrical coordinates. The network is a feedforward with backpropagation algorithm. We compare the results with the Levenberg-Marquardt method and discuss advantages and disadvantages. The two methods recover very well the optimum parameters.
Artificial neural networks for inverse heat transfer problems
Cortes, O. (Autor:in) / Urquiza, G. (Autor:in) / Hernandez, J.A. (Autor:in) / Cruz, M.A. (Autor:in)
2007
4 Seiten, 11 Quellen
Aufsatz (Konferenz)
Englisch
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