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The problem of event-triggered state estimation for a class of delayed recurrent neural networks with quantization is presented in this paper. In order to save the limited communication resource, a novel event-triggered scheme is constructed to determine whether or not the current sampled data should be transmitted to quantizer. A Luenberger-type state estimator is proposed based on incomplete measurements...