A Memristive Neural Networks Described by Differential-Algebraic Systems

机译：差分代数系统描述的忆内神经网络

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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.

机译：通过使用MEM-ristor的电流 - 电压特性建立差分代数神经网络。研究了这种新神经网络的基本问题，例如存在和唯一问题和稳定性问题。另外，给出了数值和模拟来显示我们的结果的有效性。本文的方法和结果在忆内网络和差分代数神经网络的设计和研究方面具有重要意义。

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《International Conference on Information Science and Technology》|2018年|498p|共6页
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Boshan Chen; Jiejie Chen; Zhigang Zeng;
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正文语种
中图分类信息处理（信息加工）;
关键词
Memristors; Mathematical model; Current-voltage characteristics; Stability analysis; Biological neural networks;

机译：忆子;数学模型;电流 - 电压特性;稳定性分析;生物神经网络;

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1. Periodic synchronization in delayed memristive neural networks based on Filippov systems [J] . Cai Zuowei, Huang Lihong, Wang Dongshu, Journal of the Franklin Institute . 2015,第10期

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2. Nonlinear behavior of memristive devices during tuning process and its impact on STDP learning rule in memristive neural networks [J] . Bayat Farnood Merrikh, Shouraki Saeed Bagheri Neural computing & applications . 2015,第1期

机译：忆阻器件在调谐过程中的非线性行为及其对忆阻神经网络中STDP学习规则的影响
3. Neural Network Based Semi-Empirical Models for Dynamical Systems Represented by Differential-Algebraic Equations of Index 2 [J] . Dmitry S. Kozlov, Yury V. Tiumentsev Procedia Computer Science . 2018,第1期

机译：基于神经网络的动力系统半经验模型，用指数2的微分-代数方程表示
4. A Memristive Neural Networks Described by Differential-Algebraic Systems [C] . Boshan Chen, Jiejie Chen, Zhigang Zeng International Conference on Information Science and Technology . 2018

机译：用微分代数系统描述的忆阻神经网络
5. Artificial neural systems using memristive synapses and nano-crystalline silicon thin-film transistors [D] . Cantley, Kurtis D. 2011

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6. Exploring Area-Dependent Pr0.7Ca0.3MnO3-Based Memristive Devices as Synapses in Spiking and Artificial Neural Networks [O] . Alexander Gutsche, Sebastian Siegel, Jinchao Zhang, 2021

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7. Memristive Neural Networks: Zeolite‐Based Memristive Synapse with Ultralow Sub‐10‐fJ Energy Consumption for Neuromorphic Computation (Small 13/2021) [O] . Tao Zeng, Xiaoqin Zou, Zhongqiang Wang, 2021

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A Memristive Neural Networks Described by Differential-Algebraic Systems

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