用微分代数系统描述的记忆神经网络

2018 Eighth International Conference on Information Science and Technology (ICIST) Pub Date : 2018-06-01 DOI:10.1109/ICIST.2018.8426153

Boshan Chen, Jiejie Chen, Z. Zeng

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引用次数: 2

摘要

利用memr的电流-电压特性，建立了微分代数神经网络。研究了这种新型神经网络的存在唯一性问题和稳定性问题。最后，通过数值算例和仿真验证了所得结果的有效性。本文的方法和结果对记忆神经网络和微分代数神经网络的设计和研究具有重要的指导意义。

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A Memristive Neural Networks Described by Differential-Algebraic Systems

Differential-algebraic neural networks is established by using the current-voltage characteristic of the mem-ristor. The basic problem of this new neural networks are investigated, such as the existence and uniqueness problem and the stability problem. In addition, a numerical example and simulation are given to show the effectiveness of the our results. The approach and results of the paper have a leading significance in the design and study of memristive neural networks and differential-algebraic neural networks.

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2018 Eighth International Conference on Information Science and Technology (ICIST)

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