Abstract: This paper proposes an innovative event-triggered relearning strategy for neural network modeling, to enhance prediction accuracy under the non-stationary and variable conditions frequently ...
Abstract: Petri nets (PNs) are graphical and mathematical tools used to model a variety of discrete event systems and analyze their properties. Reachability is their fundamental property that is ...
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