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• W2016212748 abstract "On average, each of the 1011 neurons has 1000 synaptic connections with other neurons in reality. In order to simulate a biological genuine model, the stability of a special discrete-time recurrent neural networks model that every neuron only has one input neuron is considered. And a main result is obtained. It provides some theoretical basis for the application." @default.
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• W2016212748 date "2011-01-01" @default.
• W2016212748 modified "2023-09-24" @default.
• W2016212748 title "A Special Criteria to Globally Exponentially Stability for Discrete-Time Recurrent Neural Networks" @default.
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• W2016212748 doi "https://doi.org/10.4028/www.scientific.net/amr.181-182.293" @default.
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