Electromagnetic Radiation Control for Nonlinear Dynamics of Hopfield Neural Networks

Wei Yao, Jia Fang, Fei Yu, Li Xiong, Lihong Tang, Jin Zhang, Yichuang Sun

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Abstract

Electromagnetic radiation (EMR) affects the dynamical behavior of the nervous system, and appropriate EMR helps to study the dynamic mechanism of the nervous system. This paper uses a sophisticated four-dimensional Hopfield neural network (HNN) model augmented with one or more memristors to simulate the effects of EMR. We focus on the chaotic dynamics of HNN under the influence of EMR. Complex dynamical behaviors are found and transient chaotic phenomena have the same initial value sensitivity, showing how transient chaos is affected by EMR. Multiperiodic phenomena induced by quasi-periodic alternations are found in the dual EMR, as well as the suppression properties of the dual EMR for system chaos. This implies that the dynamical behavior of the HNN system can be controlled by varying the amount of EMR or the number of affected neurons in the HNN. Finally, a strong validation of our proposed model is provided by Multisim and Field Programmable Gate Array(FPGA) hardware.

Original languageEnglish
Article number073149
Pages (from-to)1-17
Number of pages17
JournalChaos: An Interdisciplinary Journal of Nonlinear Science
Volume34
Issue number7
Early online date23 Jul 2024
DOIs
Publication statusPublished - 23 Jul 2024

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