On Model of Recurrent Neural Network on a Time Scale: Exponential Convergence and Stability Research
Abstract: The majority of the results on modeling recurrent neural networks (RNNs) are obtained using delayed differential equations, which imply continuous time representation. On the other hand, ...
Abstract: This paper explores the finite-time stability (FTS) for time-scale-type nonlinear systems (TTNSs) with time delays, where TTNSs serve as an extension of continuous and discrete systems, ...
Recent research on time-series self-supervised models shows great promise in learning semantic representations. However, it has been limited to small-scale datasets, e.g., thousands of temporal ...
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