相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。Predicting phase and sensing phase coherence in chaotic systems with machine learning
Chun Zhang et al.
CHAOS (2020)
Synchronization of chaotic systems and their machine-learning models
Tongfeng Weng et al.
PHYSICAL REVIEW E (2019)
Attractor reconstruction by machine learning
Zhixin Lu et al.
CHAOS (2018)
Observing spatio-temporal dynamics of excitable media using reservoir computing
Roland S. Zimmermann et al.
CHAOS (2018)
Reservoir Computing Beyond Memory-Nonlinearity Trade-off
Masanobu Inubushi et al.
SCIENTIFIC REPORTS (2017)
Using machine learning to replicate chaotic attractors and calculate Lyapunov exponents from data
Jaideep Pathak et al.
CHAOS (2017)
Reservoir observers: Model-free inference of unmeasured variables in chaotic systems
Zhixin Lu et al.
CHAOS (2017)
Reservoir computing with a single time-delay autonomous Boolean node
Nicholas D. Haynes et al.
PHYSICAL REVIEW E (2015)
Photonic information processing beyond Turing: an optoelectronic implementation of reservoir computing
L. Larger et al.
OPTICS EXPRESS (2012)
Information processing using a single dynamical node as complex system
L. Appeltant et al.
NATURE COMMUNICATIONS (2011)
Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons
Lars Buesing et al.
NEURAL COMPUTATION (2010)
A comparative study of Reservoir Computing strategies for monthly time series prediction
F. Wyffels et al.
NEUROCOMPUTING (2010)
Reservoir computing approaches to recurrent neural network training
Mantas Lukosevicius et al.
COMPUTER SCIENCE REVIEW (2009)
Edge of chaos and prediction of computational performance for neural circuit models
Robert Legenstein et al.
NEURAL NETWORKS (2007)
Detecting synchronization of self-sustained oscillators by external driving with varying frequency
AE Hramov et al.
PHYSICAL REVIEW E (2006)
Generalized synchronization in time-delayed systems
EM Shahverdiev et al.
PHYSICAL REVIEW E (2005)
Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication
H Jaeger et al.
SCIENCE (2004)
Real-time computing without stable states:: A new framework for neural computation based on perturbations
W Maass et al.
NEURAL COMPUTATION (2002)
Synchronization of metronomes
J Pantaleone
AMERICAN JOURNAL OF PHYSICS (2002)