Complex network approaches to nonlinear time series analysis
In the last decade, there has been a growing body of literature addressing the utilization of
complex network methods for the characterization of dynamical systems based on time …
complex network methods for the characterization of dynamical systems based on time …
Advances in heart rate variability signal analysis: joint position statement by the e-Cardiology ESC Working Group and the European Heart Rhythm Association co …
Following the publication of the Task Force document on heart rate variability (HRV) in 1996,
a number of articles have been published to describe new HRV methodologies and their …
a number of articles have been published to describe new HRV methodologies and their …
Nonlinear tuning of PT symmetry and non-Hermitian topological states
Topology, parity-time (PT) symmetry, and nonlinearity are at the origin of many fundamental
phenomena in complex systems across the natural sciences, but their mutual interplay …
phenomena in complex systems across the natural sciences, but their mutual interplay …
Backpropagation algorithms and reservoir computing in recurrent neural networks for the forecasting of complex spatiotemporal dynamics
We examine the efficiency of Recurrent Neural Networks in forecasting the spatiotemporal
dynamics of high dimensional and reduced order complex systems using Reservoir …
dynamics of high dimensional and reduced order complex systems using Reservoir …
Chaotic dynamics in nanoscale NbO2 Mott memristors for analogue computing
At present, machine learning systems use simplified neuron models that lack the rich
nonlinear phenomena observed in biological systems, which display spatio-temporal …
nonlinear phenomena observed in biological systems, which display spatio-temporal …
[图书][B] Synchronization: from coupled systems to complex networks
A modern introduction to synchronization phenomena, this text presents recent discoveries
and the current state of research in the field, from low-dimensional systems to complex …
and the current state of research in the field, from low-dimensional systems to complex …
Dielectric microcavities: Model systems for wave chaos and non-Hermitian physics
This is a review on theoretical and experimental studies on dielectric microcavities, which
play a significant role in fundamental and applied research. The basic concepts and theories …
play a significant role in fundamental and applied research. The basic concepts and theories …
[图书][B] Modern classical physics: optics, fluids, plasmas, elasticity, relativity, and statistical physics
KS Thorne, RD Blandford - 2017 - books.google.com
A groundbreaking text and reference book on twenty-first-century classical physics and its
applications This first-year graduate-level text and reference book covers the fundamental …
applications This first-year graduate-level text and reference book covers the fundamental …
Lower-dimensional simple chaotic systems with spectacular features
Lower-dimensional chaotic systems are easily implementable and cost-effective, therefore,
more desirable for practical considerations. Not only can such systems preserve basic …
more desirable for practical considerations. Not only can such systems preserve basic …
Cqffa: A chaotic quasi-oppositional farmland fertility algorithm for solving engineering optimization problems
FS Gharehchopogh, MH Nadimi-Shahraki… - Journal of Bionic …, 2023 - Springer
Abstract Farmland Fertility Algorithm (FFA) is a recent nature-inspired metaheuristic
algorithm for solving optimization problems. Nevertheless, FFA has some drawbacks: slow …
algorithm for solving optimization problems. Nevertheless, FFA has some drawbacks: slow …