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
01.09.2007
239624 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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