电磁感应和电磁辐射作用下一类新颖忆阻耦合Hopfield神经网络的放电模式

Study on Firing Modes of a Novel Memristor Coupled Hopfield Neural Network under Electromagnetic Induction and Electromagnetic Radiation

  • 摘要: 本文引入两个磁控忆阻器分别模拟电磁感应和电磁辐射, 研究其对一类新颖复合指数型忆阻耦合四元Hopfield神经网络产生的影响。通过改变忆阻突触的内部参数m1以及电磁辐射耦合强度k2, 发现新系统存在多种不同的放电模式, 如周期簇发放电、混沌簇发放电、瞬态混沌尖峰放电、瞬态随机簇发放电等。通过改变系统的初始值, 发现新系统产生了5种不同的共存放电模式, 如随机簇发放电、混沌尖峰放电、周期性尖峰放电等。与不施加电磁感应与电磁辐射的原系统相比, 新系统还产生了大范围超混沌现象以及无参数状态切换现象。通过STM32单片机对新系统进行了硬件实现。

     

    Abstract: Two magnetic memristors are introduced to simulate electromagnetic induction and electromagnetic radiation respectively, and their effects on a novel compound exponential memristor coupled four-element Hopfield neural network are studied. By changing the internal parameters m1 of the memritic synapse and the coupling intensity k2, it is found that the new system has various different firing modes, such as periodic bursting firing, chaotic bursting firing, transient chaotic spiking firing, transient stochastic bursting firing, etc. By changing the initial value of the system, it is found that the new system produces five different coexisting firing modes, such as stochastic bursting firing, chaotic spiking firing, periodic spiking firing, etc. In addition, compared with the original system without electromagnetic induction and electromagnetic radiation, the new system also produces a wide range of hyperchaos and parameterless state switching. Finally, the hardware implementation of the new system is carried out by STM32 MCU.

     

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