Artificial neural networks (ANNs) have achieved significant success in tackling classical and
modern machine learning problems. As learning problems grow in scale and complexity …

A critical issue in optical chaos-based communications is the possibility to identify the
parameters of the chaotic emitter and, hence, to break the security. In this paper, we study …

We experimentally and numerically demonstrate the time delay (TD) signature suppression
of chaotic output in a double optical feedback semiconductor laser (DOF-SL) system. Two …

We analyze the intrinsic time scales of the chaotic dynamics of a semiconductor laser
subject to optical feedback by estimating quantifiers derived from a permutation information …

In this paper, a novel electro-optic feedback phase chaotic system based on nonlinear
coupling of two delayed interfering branches is proposed and analyzed by numerical …

We study time-delayed stochastic systems that can be described by means of so-called
delay Fokker-Planck equations. Using Novikov's theorem, we first show that the theory of …

针对混沌保密光通信的关键技术和最新的研究进展, 首先介绍了基于不同非线性器件的混沌生成
方法; 然后重点研究了混沌光通信的研究前沿, 包括如何提高安全性, 如何提升混沌保密光通信的 …

Modularity as a system of separate and independent sub-tasks is the appropriate way to
improve the performance of artificial neural network (ANN) models in hydrological …

We introduce a scheme that integrates a digital key in a phase-chaos electro-optical delay
system for optical chaos communications. A pseudorandom binary sequence (PRBS) is …

This paper discusses the synchronization problem for a class of reaction–diffusion neural
networks with Dirichlet boundary conditions. Unlike other studies, a sampled-data controller …