Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Thomas Jüngling"'
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. 33:2586-2595
We study the propagation and distribution of information-carrying signals injected in dynamical systems serving as reservoir computers. Through different combinations of repeated input signals, a multivariate correlation analysis reveals measures kno
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da2db03bd0aaeeb6083fbe04e5121316
https://doi.org/10.1109/tnnls.2021.3119548
https://doi.org/10.1109/tnnls.2021.3119548
Publikováno v:
AI 2022: Advances in Artificial Intelligence ISBN: 9783031226946
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de8e4521598e515d2714a682e5d791f2
https://doi.org/10.1007/978-3-031-22695-3_31
https://doi.org/10.1007/978-3-031-22695-3_31
Publikováno v:
Chaos (Woodbury, N.Y.). 31(3)
We study swarms as dynamical systems for reservoir computing (RC). By example of a modified Reynolds boids model, the specific symmetries and dynamical properties of a swarm are explored with respect to a nonlinear time-series prediction task. Specif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c63f49bb4ee5d04085d6885199269fbf
https://pubmed.ncbi.nlm.nih.gov/33810760
https://pubmed.ncbi.nlm.nih.gov/33810760
Publikováno v:
Chaos: An Interdisciplinary Journal of Nonlinear Science. 32:033109
We present the idea of reservoir time series analysis (RTSA), a method by which the state space representation generated by a reservoir computing (RC) model can be used for time series analysis. We discuss the motivation for this with reference to th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44334b7e28d9f0a78b4d548c6e9a05ac
https://doi.org/10.1063/5.0082122
https://doi.org/10.1063/5.0082122
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2020 ISBN: 9783030616151
ICANN (2)
ICANN (2)
We study the consistency property in reservoir computers with noise. Consistency quantifies the functional dependence of a driven dynamical system on its input via replica tests. We characterise the high-dimensional profile of consistency in typical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::97b0aa06e4ebe2aa484a3706e1aee560
https://doi.org/10.1007/978-3-030-61616-8_36
https://doi.org/10.1007/978-3-030-61616-8_36
Publikováno v:
Physical review. E. 101(1-1)
We study laminar chaos in an electronic experiment. A two-diode nonlinear circuit with delayed feedback shows chaotic dynamics similar to the Mackey-Glass or Ikeda delay systems. Clock modulation of a single delay line leads to a conservative variabl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::760c1441bf6881a6fda19763ead5f9b1
https://pubmed.ncbi.nlm.nih.gov/32069600
https://pubmed.ncbi.nlm.nih.gov/32069600
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
Consistency is a powerful concept to characterize and classify the behavior of driven dynamical systems, therefore playing an essential role for the understanding of information processing in and by complex photonic systems. Here, we discuss two diff
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f21fdaeab3088f9ab9fca789aaa30efa
http://hdl.handle.net/10261/189888
http://hdl.handle.net/10261/189888
Autor:
Débora C. Corrêa, Thomas Stemler, David M. Walker, Michael Small, Thomas Jüngling, Thomas Lymburn
Publikováno v:
ISCAS
We investigate the capacity of reservoir computers to reconstruct the dynamics of a network of chaotic oscillators via the observation of its multivariate time series. The reservoir is itself a structured echo-state network which receives the current
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::862a0ab5ba52cb494e730a26d9a7b12c
https://doi.org/10.1109/iscas.2019.8702137
https://doi.org/10.1109/iscas.2019.8702137
Publikováno v:
Chaos: An Interdisciplinary Journal of Nonlinear Science. 31:033122
We study the task of determining parameters of dynamical systems from their time series using variations of reservoir computing. Averages of reservoir activations yield a static set of random features that allows us to separate different parameter va
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f97e2a9f25d8d11d1d52d871b087e94b
https://doi.org/10.1063/5.0039193
https://doi.org/10.1063/5.0039193
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 549:124351
We analyze melodies of classical music by stochastic modeling and prediction, analogous to symbolic time series from a nonlinear dynamical system. The performance in a one-step prediction task indicates the capabilities of the models, given by Markov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c4a71961bd9ed79c9b03835e62101d84
https://doi.org/10.1016/j.physa.2020.124351
https://doi.org/10.1016/j.physa.2020.124351