Abstract:Many Memristive neural network arrays that have been designed in recent years are simultaneously dealt with all of their synapses in working status. Therefore, when a relatively small-scale neural network is implemented with these memristor arrays, some of these synapses which are not
used may cause errors in the result due to the impact of unexpected interference signals, and it can also cause some unnecessary energy consumption. In this paper, a memristive neural network with variable network struct… Show more
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