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• W2018551092 abstract "Memristor is a nonlinear resistor with the character of memory and is proved to be suitable for simulating synapse of neuron. This paper introduces two memristors in series with the same polarity (back-to-back) as simulator for neuron's synapse and presents the model of recurrent neural networks with such back-to-back memristors. By analysis techniques and fixed point theory, some sufficient conditions are obtained for recurrent neural network having single attractor flow and multiple attractors flow. At last, simulation with numeric examples is presented to illustrate our results." @default.
• W2018551092 created "2016-06-24" @default.
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• W2018551092 creator A5088094619 @default.
• W2018551092 date "2014-12-01" @default.
• W2018551092 modified "2023-09-27" @default.
• W2018551092 title "Attractor flow analysis for recurrent neural network with back-to-back memristors" @default.
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• W2018551092 doi "https://doi.org/10.1109/foci.2014.7007812" @default.
• W2018551092 hasPublicationYear "2014" @default.
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