Hybrid CMOS-Memristive Convolutional computation for on-chip learning

Hybrid CMOS-Memristive Convolutional computation for on-chip learning
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用于片上学习的混合 CMOS-忆阻卷积计算

DOI:
10.1016/j.neucom.2019.04.031
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发表时间:
2019-08
期刊:
影响因子:
6
通讯作者:
Shen Linlin
Shen Linlin
中科院分区:
计算机科学2区
文献类型:
--
作者:
Zhang Yang;Cui Menglin;Liu Yang;Shen Linlin

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纳米级忆阻器件在实现紧凑且节能的神经形态计算系统中引起了广泛的兴趣。本文提出了一种用于片上学习的CMOS-忆阻卷积计算混合学习系统。提供了两种不同的方法来实现卷积计算的片上。一种方法是利用基于一个忆阻器(1 M)的阵列来实现图像卷积和识别两者。另一种方法是通过混合CMOS-忆阻学习电路在片上执行卷积计算。此外,一个修改后的反向传播(BP)算法适用于建议的忆阻神经网络进行图像卷积和识别。所提出的方法的另一个亮点是,所提出的混合CMOS-忆阻神经网络可以扩展到深度卷积神经网络(DNN)。
Nanoscale memristive devices have elicited widespread interests in implementing compact and energy-efficient neuromorphic computing systems. In this paper, a learning system of hybrid CMOS-memristive convolutional computation for on-chip learning is presented. Two different methods to achieve the convolutional computation on-chip are provided. One method is to utilize a one memristor (1M)-based array to realize both image convolution and recognition. Another method is to perform the convolutional computation on-chip through a hybrid CMOS-memristive learning circuits. In addition, a modified back propagation (BP) algorithm suitable for the proposed memristive neural networks is applied to perform image convolution and recognition. Another highlight of the proposed method is that the presented hybrid CMOS-memristive neural networks can be expanded to deep convolutional neural networks (DNN).
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