【摘 要】
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Dear editor,rnAs a consequence of symmetry arguments,the memristor was predicted by Chua[1].As the fourth basic circuit element,its memory characteristic and nanometer dimen-sions are devoid of resistors,capacitors,and inductors.In the field of the dynami
【机 构】
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School of Mathematics and Computer Science,Wuhan Polytechnic University,Wuhan 430023,China
论文部分内容阅读
Dear editor,rnAs a consequence of symmetry arguments,the memristor was predicted by Chua[1].As the fourth basic circuit element,its memory characteristic and nanometer dimen-sions are devoid of resistors,capacitors,and inductors.In the field of the dynamical behavior analysis for memristive neural networks(MNNs),information exchange and signal transmission among different neurons are time-varying ac-tivities and discrete time delays are frequently supposed to be bounded,which implies that the current state of a neuron depend only on a part of its history.Actually,the current behavior of a neuron depends upon all its historical infor-mation.Consequently,discrete time delays in MNNs should be assumed to be time-varying and unbounded,which can exhibit the characteristics of the neurons in human brains.Many outstanding achievements on MNNs have already been investigated,but the discrete time delays of the in-vestigated MNNs were all assumed to be bounded[2-4].
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