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Experimental results on benchmark databases illustrate both the effectiveness and performance of DRC for multiclass classification.In this article, a resilient H∞ approach is put forward to deal with hawaii estimation problem for a kind of discrete-time delayed memristive neural systems (MNNs) subject to stochastic disruptions (SDs) and dynamic event-triggered procedure (ETM). The powerful ETM is employed to mitigate unneeded resource consumption happening into the sensor-to-