Dynamical analysis, multi-cavity control and DSP implementation of a novel memristive autapse neuron model emulating brain behaviors DOI
Hongli Cao, Yinghong Cao, Lei Qin

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 191, P. 115857 - 115857

Published: Dec. 4, 2024

Language: Английский

High-dimensional memristive neural network and its application in commercial data encryption communication DOI
Chunhua Wang, Dong Hong Tang, Hairong Lin

et al.

Expert Systems with Applications, Journal Year: 2023, Volume and Issue: 242, P. 122513 - 122513

Published: Nov. 18, 2023

Language: Английский

Citations

74
Memristive Hopfield neural network dynamics with heterogeneous activation functions and its application DOI
Quanli Deng, Chunhua Wang, Hairong Lin

et al.

Chaos Solitons & Fractals, Journal Year: 2023, Volume and Issue: 178, P. 114387 - 114387

Published: Dec. 15, 2023

Language: Английский

Citations

66
Dynamics of heterogeneous Hopfield neural network with adaptive activation function based on memristor DOI
Chunhua Wang, Junhui Liang, Quanli Deng

et al.

Neural Networks, Journal Year: 2024, Volume and Issue: 178, P. 106408 - 106408

Published: May 22, 2024

Language: Английский

Citations

46
Chaotic dynamical system of Hopfield neural network influenced by neuron activation threshold and its image encryption DOI
Quanli Deng, Chunhua Wang, Hairong Lin

et al.

Nonlinear Dynamics, Journal Year: 2024, Volume and Issue: 112(8), P. 6629 - 6646

Published: March 4, 2024

Language: Английский

Citations

35
Two Independent Offset Controllers in a Three-Dimensional Chaotic System DOI
Chunbiao Li, Yikai Gao, Tengfei Lei

et al.

International Journal of Bifurcation and Chaos, Journal Year: 2024, Volume and Issue: 34(01)

Published: Jan. 1, 2024

Offset boosting is a crucial passage for chaotic signal modification in chaos-based engineering. Searching an offset controller 3D system usually complex, let alone two independent nonbifurcating constants. This paper constructs class of systems, providing single constant posing direct dimensions. boostable regime has multiple typical control modes, including variable control, synchronous common reverse and differential control. new type systems also finds two-dimensional combined with amplitude

Language: Английский

Citations

25
Multiscroll hopfield neural network with extreme multistability and its application in video encryption for IIoT DOI
Fei Yu, Yue Lin, Wei Yao

et al.

Neural Networks, Journal Year: 2024, Volume and Issue: 182, P. 106904 - 106904

Published: Nov. 17, 2024

Language: Английский

Citations

22
Dynamics analysis and FPGA implementation of discrete memristive cellular neural network with heterogeneous activation functions DOI
Chunhua Wang,

Dingwei Luo,

Quanli Deng

et al.

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 187, P. 115471 - 115471

Published: Sept. 4, 2024

Language: Английский

Citations

21
Nonvolatile CMOS Memristor, Reconfigurable Array, and Its Application in Power Load Forecasting DOI
Quanli Deng, Chunhua Wang, Jingru Sun

et al.

IEEE Transactions on Industrial Informatics, Journal Year: 2023, Volume and Issue: 20(4), P. 6130 - 6141

Published: Dec. 29, 2023

The high cost, low yield, and stability of nanomaterials significantly hinder the application development memristors. To promote memristors, researchers proposed a variety memristor emulators to simulate functions apply them in various fields. However, these lack nonvolatile characteristics, limiting their scope application. This article proposes an innovative circuit based on complementary metal–oxide–semiconductor (CMOS) technology, expanding horizons emulators. is fabricated reconfigurable array architecture using standard CMOS process, allowing connection between memristors be altered by configuring on – xmlns:xlink="http://www.w3.org/1999/xlink">off state switches. Compared nanomaterial this offers advantages manufacturing cost easy mass production, which can further studied constructing echo network for short-term load forecasting power system.

Language: Английский

Citations

30
Development of a video encryption algorithm for critical areas using 2D extended Schaffer function map and neural networks DOI
Suo Gao, Jiafeng Liu, Herbert Ho‐Ching Iu

et al.

Applied Mathematical Modelling, Journal Year: 2024, Volume and Issue: 134, P. 520 - 537

Published: June 14, 2024

Language: Английский

Citations

15
An Image Encryption Algorithm Based on Tabu Search and Hyperchaos DOI

Xiaojuan Ma,

Zhifei Wang,

Chunhua Wang

et al.

International Journal of Bifurcation and Chaos, Journal Year: 2024, Volume and Issue: 34(14)

Published: Oct. 5, 2024

In this paper, we propose a digital image encryption scheme based on Tabu Search (TS) algorithm and Chen’s hyperchaos system. First, in order to enhance the security of resist known-plaintext attack, key is associated with ordinary image, hash value generated by used as initial hyperchaotic Moreover, TS obtain optimal subsequence scramble sub-block which ensures scrambling effect algorithm. addition, for sake minimizing correlation neighborhood pixels strengthening scrambling, divided into blocks diffusion. Through simulation experiments, sensitivity, differential attack pure ciphertext are analyzed. Compared other schemes, results verify effectiveness reliability proposed scheme.

Language: Английский

Citations

14