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Alternative and more efficient approaches for microwave applicators modeling, in respect to conventional numerical techniques, are presented in the paper. These approaches are based on artificial neural networks incorporating previously acquired partially knowledge about problem domain. Neural models, created using the suggested approaches, provide the similarly accuracy as numerical methods but performing...
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