Results 21 to 30 of about 21,729 (293)
Reservoir computing with noise
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2023 This paper investigates in detail the effects of measurement noise on the performance of reservoir computing. We focus on an application in which reservoir computers are used to learn the relationship between different state variables of a chaotic system. We recognize that noise can affect the training and testing phases differently.
Chad Nathe +5 more
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Reservoir computing with swarms [PDF]
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2021 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. Specifically, we seek to extract meaningful information about a predator-like driving signal from the swarm’s ...
Thomas Lymburn +3 more
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Task-adaptive physical reservoir computing [PDF]
, 2023 Reservoir computing is a neuromorphic architecture that may offer viable solutions to the growing energy costs of machine learning. In software-based machine learning, computing performance can be readily reconfigured to suit different computational ...
Branford, Will R +13 more
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Parallel and deep reservoir computing using semiconductor lasers with optical feedback
Nanophotonics, 2022 Photonic reservoir computing has been intensively investigated to solve machine learning tasks effectively. A simple learning procedure of output weights is used for reservoir computing.
Hasegawa Hiroshi +2 more
doaj +1 more source
Transport in reservoir computing
Physica D: Nonlinear Phenomena, 2023 Reservoir computing systems are constructed using a driven dynamical system in which external inputs can alter the evolving states of a system. These paradigms are used in information processing, machine learning, and computation. A fundamental question that needs to be addressed in this framework is the statistical relationship between the input and ...
G. Manjunath, Juan-Pablo Ortega
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Quantum Reservoir Computing for Speckle-Disorder Potentials [PDF]
, 2022 Quantum reservoir computing is a machine-learning approach designed to exploit the dynamics of quantum systems with memory to process information.
Mujal, Pere, Pere Mujal
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Dimension of reservoir computers [PDF]
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2020 A reservoir computer is a complex dynamical system, often created by coupling nonlinear nodes in a network. The nodes are all driven by a common driving signal. In this work, three dimension estimation methods, false nearest neighbor, covariance dimension, and Kaplan-Yorke dimension, are used to estimate the dimension of the reservoir dynamical system.
openaire +4 more sources
Symmetry-aware reservoir computing [PDF]
Physical Review E, 2021 10 pages, 7 ...
Wendson A. S. Barbosa +7 more
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Calibrated reservoir computers [PDF]
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2020 We observe the presence of infinitely fine-scaled alternations within the performance landscape of reservoir computers aimed for chaotic data forecasting. We investigate the emergence of the observed structures by means of variations of the transversal stability of the synchronization manifold relating the observational and internal dynamical states ...
Y. A. Mabrouk, C. Räth
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Reservoir concatenation and the spectrum distribution of concatenated reservoir state matrices
AIP Advances, 2023 Reservoir computing, one of the state-of-the-art machine learning architectures, processes time-series data generated by dynamical systems. Nevertheless, we have realized that reservoir computing with the conventional single-reservoir structure suffers ...
Jaesung Choi +3 more
doaj +1 more source