Memristive Hopfield neural network with multiple controllable nonlinear offset behaviors and its medical encryption application

Memristors possess inherent nonlinearity and synaptic attributes, rendering them more suited for integration as synapses within neural networks compared to resistors. Furthermore, their utilization induces significant alterations in the dynamic behavior of neural networks, hence bestowing considerab...

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Bibliographic Details

Published in:	Chaos, solitons and fractals Vol. 183; p. 114944
Main Authors:	Leng, Xiangxin, Wang, Xiaoping, Zeng, Zhigang
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.06.2024
Subjects:	Controllable offset Hopfield neural network Medical image encryption Memristor Offset boost behavior Memristor Controllable offset Medical image encryption Hopfield neural network Offset boost behavior
ISSN:	0960-0779
Online Access:	Get full text
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