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.


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    Title :

    Artificial Neural Networks for Inverse Heat Transfer Problems


    Contributors:


    Publication date :

    2007-09-01


    Size :

    239624 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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