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- W2022190780 abstract "This paper investigates the delay-dependent exponential passivity problem of the memristor-based recurrent neural networks (RNNs). Based on the knowledge of memristor and recurrent neural network, the model of the memristor-based RNNs is established. Taking into account of the information of the neuron activation functions and the involved time-varying delays, several improved results with less computational burden and conservatism have been obtained in the sense of Filippov solutions. A numerical example is presented to show the effectiveness of the obtained results." @default.
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- W2022190780 date "2013-10-01" @default.
- W2022190780 modified "2023-10-06" @default.
- W2022190780 title "Passivity analysis of memristor-based recurrent neural networks with time-varying delays" @default.
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- W2022190780 doi "https://doi.org/10.1016/j.jfranklin.2013.05.026" @default.
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