Results 31 to 40 of about 1,932,721 (285)
Reservoir computing with output feedback [PDF]
, 2011 Reinhart RF. Reservoir computing with output feedback. Bielefeld: Bielefeld University; 2011.A dynamical system approach to forward and inverse modeling is proposed. Forward and inverse models are trained in associative recurrent neural networks that are
Reinhart, René Felix, Reinhart, Felix
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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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Regularization by Intrinsic Plasticity and its Synergies with Recurrence for Random Projection Methods [PDF]
, 2012 Neumann K, Emmerich C, Steil JJ. Regularization by Intrinsic Plasticity and its Synergies with Recurrence for Random Projection Methods. Journal of Intelligent Learning Systems and Applications. 2012;4(3):230-246.Neural networks based on high-dimensional
Emmerich, Christian +2 more
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Reservoir computing on the hypersphere [PDF]
International Journal of Modern Physics C, 2017 Reservoir Computing (RC) refers to a Recurrent Neural Network (RNNs) framework, frequently used for sequence learning and time series prediction. The RC system consists of a random fixed-weight RNN (the input-hidden reservoir layer) and a classifier (the hidden-output readout layer).
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Neuro-dynamic programming for the efficient management of reservoir networks [PDF]
, 2001 The management of a water reservoir can be improved thanks to the use of stochastic dynamic programming (SDP) to generate management policies which are efficient with respect to the management objectives (flood protection, water supply for irrigation and
Rizzoli, Andrea Emilio +7 more
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Hybrid quantum-classical reservoir computing of thermal convection flow
Physical Review Research, 2022 We simulate the nonlinear chaotic dynamics of Lorenz-type models for a classical two-dimensional thermal convection flow with three and eight degrees of freedom by a hybrid quantum-classical reservoir computing model.
Philipp Pfeffer +2 more
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Optimizing memory in reservoir computers [PDF]
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2022 A reservoir computer is a way of using a high dimensional dynamical system for computation. One way to construct a reservoir computer is by connecting a set of nonlinear nodes into a network. Because the network creates feedback between nodes, the reservoir computer has memory.
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Leveraging plant physiological dynamics using physical reservoir computing
Scientific Reports, 2022 Plants are complex organisms subject to variable environmental conditions, which influence their physiology and phenotype dynamically. We propose to interpret plants as reservoirs in physical reservoir computing. The physical reservoir computing paradigm
Olivier Pieters +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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Audio Classification with Skyrmion Reservoirs
Advanced Intelligent Systems, 2023 Physical reservoir computing is a computational paradigm that enables spatiotemporal pattern recognition to be performed directly in matter. The use of physical matter leads the way toward energy‐efficient devices capable of solving machine learning ...
Robin Msiska +4 more
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