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- W2053060202 abstract "A simple and efficient method of modelling electromagnetic immunity (EMI) of integrated circuits (IC) with respect to conducted electromagnetic interference by using artificial neural networks (ANN) is presented. A pulse signal generator is controlled by an ANN to improve stability, robustness and accuracy of the model. A simple and effective way to obtain necessary data for learning the artificial neural network used in EMI modelling is presented. The methodology described in this paper ensures a simple, fast and accurate modelling. As a test case, the EMI model of conducted interference of a simple local interconnect network (LIN) interface circuit is presented." @default.
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- W2053060202 date "2009-01-01" @default.
- W2053060202 modified "2023-09-22" @default.
- W2053060202 title "Modelling of Electromagnetic Immunity of Integrated Circuits by Artificial Neural Networks" @default.
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- W2053060202 doi "https://doi.org/10.1109/emczur.2009.4783468" @default.
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