[15]li y, xie l, xiao p, et al. drift speed adaptive memristor model[j]. neural computing and applications, 2023, 35(19): 14419-乐橙lc8

 [15]li y, xie l, xiao p, et al. drift speed adaptive memristor model[j]. neural computing and applications, 2023, 35(19): 14419-乐橙lc8
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[15]li y, xie l, xiao p, et al. drift speed adaptive memristor model[j]. neural computing and applications, 2023, 35(19): 14419-14430.
作者:        发布时间:2023-10-06        阅读量:

abstractdifferent memristive devices have different characteristic curves; how to describe and simulate various kinds of memristive devices with a unified model is still a significant work. in this work, a new memristor model is presented—dsam,drift speed adaptive memristor model. this model is composed of a linear i–v relation function and a speed adaptive statefunction. a detailed analysis of model parameters’ effect is proposed. it is shown that different parameters performdifferent drift speed curves, which can be adjusted to describe various memristive devices. the proposed model can alsoadapt to various voltage inputs. finally, the model is tested in fitting different memristor devices with an average error ofless than 5:5%.


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