Dynamics of heterogeneous Hopfield neural network with adaptive activation function based on memristor

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

Published: May 22, 2024

Language: Английский

---

Symmetric multi-double-scroll attractors in Hopfield neural network under pulse controlled memristor

Nonlinear Dynamics, Journal Year: 2024, Volume and Issue: 112(16), P. 14463 - 14477

Published: June 8, 2024

Language: Английский

---

Design, Hardware Implementation, and Application in Video Encryption of the 2D Memristive Cubic Map

IEEE Internet of Things Journal, Journal Year: 2024, Volume and Issue: 11(12), P. 21807 - 21815

Published: March 12, 2024

Chaos systems find extensive applications in cryptography and pseudorandom number generation due to their ability generate pseudo-random signals. This paper focuses on enhancing the complexity of chaotic by introducing memristor, a nonlinear component. We propose novel map called 2D memristive Cubic (2D-MCM), which integrates memristor with create discrete mapping. The 2D-MCM exhibits rich dynamical behavior broad parameter space. Notably, displays boosting bifurcation behavior. As control parameters increase, demonstrates an expanded range values, indicating its larger sequences. To validate performance, we establish hardware platform physically capture attractors 2D-MCM. verify performance generating sequences, designed video encryption algorithm based selectively encrypts specific areas within video, correlation coefficients encrypted horizontal, vertical, diagonal directions being 0.0002, -0.0005, 0.0004, respectively. Through simulation experiments security analysis, demonstrate that performs well tasks.

Language: Английский

---

Multiscroll hopfield neural network with extreme multistability and its application in video encryption for IIoT

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

Published: Nov. 17, 2024

Language: Английский

---

Dynamics analysis and FPGA implementation of discrete memristive cellular neural network with heterogeneous activation functions

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

Published: Sept. 4, 2024

Language: Английский

---

Temporal action segmentation for video encryption

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 183, P. 114958 - 114958

Published: May 8, 2024

Language: Английский

---

Dynamic analysis and FPGA implementation of a 5D multi-wing fractional-order memristive chaotic system with hidden attractors

Integration, Journal Year: 2024, Volume and Issue: 96, P. 102129 - 102129

Published: Jan. 3, 2024

Language: Английский

---

A class of n-D Hamiltonian conservative chaotic systems with three-terminal memristor: Modeling, dynamical analysis, and FPGA implementation

Chaos An Interdisciplinary Journal of Nonlinear Science, Journal Year: 2025, Volume and Issue: 35(1)

Published: Jan. 1, 2025

Memristors are commonly used to introduce various chaotic systems and can be enhance their characteristics. However, due the strict construction conditions of Hamiltonian systems, there has been limited research on development memristive conservative (MHCCSs). In this work, a method for constructing three-terminal memristors is proposed, incorporated into system, resulting in class n-D MHCCS. Based method, we model 4D MHCCS as standard detailed dynamic analysis. The analysis reveals that exhibits complex behaviors, including conservativeness, symmetry, chaos depending parameters, extreme multistability, under wide parameter range. shows not only retains favorable characteristics system but also more nonlinear dynamics incorporation memristors, thereby further enhancing its Furthermore, pseudo-random number generator based excellent randomness terms NIST test. Finally, physical realizability verified through Field Programmable Gate Array experiments. This study demonstrates constructed MHCCSs good entropy source applied embedded secure communication, cryptographic generator.

Language: Английский

---

Dynamical Behavior of SW-SW Neural Networks

Chinese Journal of Physics, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

---

Dynamic Analysis and Implementation of FPGA for a New 4D Fractional-Order Memristive Hopfield Neural Network

Fractal and Fractional, Journal Year: 2025, Volume and Issue: 9(2), P. 115 - 115

Published: Feb. 13, 2025

Memristor-based fractional-order chaotic systems can record information from the past, present, and future, describe real world more accurately than integer-order systems. This paper proposes a novel memristor model verifies its characteristics through pinched loop (PHL) method. Subsequently, new memristive Hopfield neural network (4D-FOMHNN) is introduced to simulate induced current, accompanied by Caputo’s definition of fractional order. An Adomian decomposition method (ADM) employed for system solution. By varying parameters order 4D-FOMHNN, rich dynamic behaviors including transient chaos, coexistence attractors are observed using methods such as bifurcation diagrams Lyapunov exponent analysis. Finally, proposed FOMHNN implemented on field-programmable gate array (FPGA), oscilloscope observation results consistent with MATLAB numerical simulation results, which further validate theoretical analysis provide basis application in field encryption.

Language: Английский

---