A review of chaotic systems based on memristive Hopfield neural networks
Since the Lorenz chaotic system was discovered in 1963, the construction of chaotic
systems with complex dynamics has been a research hotspot in the field of chaos. Recently …
systems with complex dynamics has been a research hotspot in the field of chaos. Recently …
Memristor synapse-coupled piecewise-linear simplified Hopfield neural network: Dynamics analysis and circuit implementation
Electromagnetic induction current is generated between the adjacent neurons in neural
network caused by the existence of membrane potential difference. Memristor is the fourth …
network caused by the existence of membrane potential difference. Memristor is the fourth …
A hyperchaotic map with a new discrete memristor model: Design, dynamical analysis, implementation and application
The memristor has received much attention in recent years because of its natural
nonlinearity, but the research on discrete memristor is just beginning. For this reason, a new …
nonlinearity, but the research on discrete memristor is just beginning. For this reason, a new …
A triple-memristor Hopfield neural network with space multistructure attractors and space initial-offset behaviors
Memristors have recently demonstrated great promise in constructing memristive neural
networks with complex dynamics. This article proposes a memristive Hopfield neural …
networks with complex dynamics. This article proposes a memristive Hopfield neural …
Dynamics analysis and hardware implementation of multi-scroll hyperchaotic hidden attractors based on locally active memristive Hopfield neural network
It is believed that local activation is the origin of all complexities, and the locally active
memristive synaptic neural network can generate complex chaotic dynamic behaviors, such …
memristive synaptic neural network can generate complex chaotic dynamic behaviors, such …
Dynamics analysis, synchronization and FPGA implementation of multiscroll Hopfield neural networks with non-polynomial memristor
F Yu, X Kong, W Yao, J Zhang, S Cai, H Lin… - Chaos, Solitons & …, 2024 - Elsevier
The number of attractors in a memristor-based multiscroll Hopfield Neural Network (HNN) is
typically coupled with the number of polynomials, which leads to a coupling between the …
typically coupled with the number of polynomials, which leads to a coupling between the …
Memristive Hopfield neural network dynamics with heterogeneous activation functions and its application
Activation functions play a crucial in emulating biological neurons within artificial neural
networks. However, the exploration of neural networks composed of various activation …
networks. However, the exploration of neural networks composed of various activation …
A chaotic image encryption scheme based on genetic central dogma and KMP method
Y Sha, S Bo, C Yang, J Mou… - International Journal of …, 2022 - World Scientific
In this paper, an image cryptosystem based on genetic central dogma (GCD), Knuth–Morria–
Pratt (KMP) algorithm and a chaotic system is developed. The KMP algorithm is firstly used …
Pratt (KMP) algorithm and a chaotic system is developed. The KMP algorithm is firstly used …
Discretized locally active memristor and application in logarithmic map
H Li, C Li, J Du - Nonlinear Dynamics, 2023 - Springer
Compared with continuous memristor, discrete memristor is more suitable for the application
of memristor in discrete system. However, discrete memristor has not been fully appreciated …
of memristor in discrete system. However, discrete memristor has not been fully appreciated …
A color image encryption algorithm based on hyperchaotic map and DNA mutation
X Gao, B Sun, Y Cao, S Banerjee, J Mou - Chinese Physics B, 2023 - iopscience.iop.org
We devise a color image encryption scheme via combining hyperchaotic map, cross-plane
operation and gene theory. First, the hyperchaotic map used in the encryption scheme is …
operation and gene theory. First, the hyperchaotic map used in the encryption scheme is …