Deep Gated Recurrent Unit Network for High-Speed Links Modeling

In this article, we propose a time domain response modeling method that uses deep gated recurrent gates (GRU) for high-speed links. A high-speed link example is constructed in this paper to validate the accuracy and efficiency of the proposed model. Results show that the R
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score between predicted and simulated time domain response is up to 0.999, and the eye height and eye width errors are less than 2%. Meanwhile, the proposed model can predict data 50 times faster than Simulink.