忆阻递归神经网络稳定性分析及其在联想记忆中的应用

Memristor is a nonlinear resistor with variable resistance. This paper discusses dynamic properties of memristor and recurrent neural network (RNN) with memristors as connection weights. Firstly, it establishes that there exists a threshold voltage for memristor. Secondly, it presents a model for me...

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Bibliographic Details
Published in自动化学报 Vol. 43; no. 12; pp. 2244 - 2252
Main Authors 鲍刚, 陈媛媛, 温思雨, 赖陟岑
Format Journal Article
LanguageChinese
Published 2017
Subjects
Associative memory
memristor
memristive recurrent neural network (MRNN)
stability
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ISSN0254-4156
DOI10.16383/j.aas.2017.e170103

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Summary:Memristor is a nonlinear resistor with variable resistance. This paper discusses dynamic properties of memristor and recurrent neural network (RNN) with memristors as connection weights. Firstly, it establishes that there exists a threshold voltage for memristor. Secondly, it presents a model for memristive recurrent neural network (MRNN) which has variable and bounded coefficients, and analyzes stability of memristive neural network by some maths tools. Thirdly, it gives a synthesis algorithm for associative memory based on memristive recurrent neural network. At last, three examples verify our results.
ISSN:0254-4156
DOI:10.16383/j.aas.2017.e170103