The modeling of RF/microwave components for computer-aided design is facing new challenges because of increasing operation frequencies, circuit complexity, integration density, and decreasing time to market. Recently, it has been shown that Artificial Neural Networks (ANNs) offer solutions to urgent modeling problems encountered with conventional numerical methods (e.g., 3-D EM simulation) and empirical models. Fast and accurate models based on ANNs have been created for a wide range of components [ZG00k], [PAR01].
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© 2007 Springer-Verlag Berlin Heidelberg
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Kujanpää, T., Roos, J. (2007). Efficient Initialization of Artificial Neural Network Weights for Electrical Component Models. In: Ciuprina, G., Ioan, D. (eds) Scientific Computing in Electrical Engineering. Mathematics in Industry, vol 11. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71980-9_15
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DOI: https://doi.org/10.1007/978-3-540-71980-9_15
Publisher Name: Springer, Berlin, Heidelberg
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