This paper aims to review the encountered technical contradictions when an attacker meets
the cipher-images encrypted by the image encryption schemes (algorithms) proposed in …

This article presents a secure communication scheme based on the quantized
synchronization of master-slave neural networks under an event-triggered strategy. First, a …

The problem of event-triggered synchronization of master–slave neural networks is
investigated in this article. It is assumed that both communication channels from the sensor …

This article aims to analyze the fixed-time synchronization of a class of discontinuous fuzzy
inertial neural networks with time-varying delays based on the new improved fixed-time …

Proportional delay, which is different from time-varying delays and distributed delay, is a
kind of unbounded delay. The proportional delay system as an important mathematical …

The article considers the impulsive synchronization for inertial neural networks with
unbounded delay and actuator saturation via sampled-data control. Based on an impulsive …

This article focuses on the exponential synchronization problem of TS fuzzy reaction-
diffusion neural networks (RDNNs) with additive time-varying delays (ATVDs). Two control …

This paper is concerned with complete synchronization for discrete-time fractional-order
fuzzy neural networks (DFFNNs) with time-varying delays. First, three original equalities and …

The main concern of this paper is to address the synchronization problem of chaotic
fractional-order fuzzy cellular neural networks (FOFCNNs) through designing the novel …

Neural cryptography is a public key exchange algorithm based on the principle of neural
network synchronization. By using the learning algorithm of a neural network, the two neural …