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
2007-09-01
239624 byte
Conference paper
Electronic Resource
English
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