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Reservoir computing

Reservoir computing is a framework for computation derived from recurrent neural network theory that maps input signals into higher dimensional computational spaces through the dynamics of a fixed, non-linear system called a reservoir. After the input signal is fed into the reservoir, which is treated as a "black box," a simple readout mechanism is…

History, Overview & Classical reservoir computing

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Overview

History

Classical reservoir computing

Quantum reservoir computing

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Reservoir computing

Nodes42
Edges41
Triples33
Avg. degree1.95
Density0.047619
Components1

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Reservoir computing

Top relations

related to Further reading · 14
Reservoir computing → Applications, Eds, Ingo Fischer, ISBN, Machine, Models, Nakajima, Nature Communications, Neural Computation, Optics Express, Physical Implementations, Scientific Reports February, Springer, Theory
related to history · 6
Reservoir computing → However, In, It, Overall, Reservoir, The
related to Reservoir · 5
Reservoir computing → Physical, RC, Reservoirs, The, Virtual
is a · 2
Reservoir computing → framework for computation derived from recurrent neural network theory that maps input signals into higher dimensional computational spaces through the dynamics of a fixed, internal structure of the computer
related to Quantum reservoir computing · 2
Reservoir computing → Quantum, The

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Important terminology

reservoir computing quantum neural networks readout input network recurrent dynamics state system computation computers reservoirs systems nonlinear learning linear trained

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Reservoir computingis aframework for computation derived from recurrent neural network theory that maps input signals into higher dimensional computational spaces through the dynamics of a fixed0.90text
Reservoir computingis ainternal structure of the computer0.90text
recurrent neural networksinstance ofIt is a generalisation of earlier neural network architectures0.80text
liquid-state machinesinstance ofIt is a generalisation of earlier neural network architectures0.80text
echo-state networksinstance ofIt is a generalisation of earlier neural network architectures0.80text
a linear regression or a Ridge regressioninstance ofand by utilizing a training method0.80text
Reservoir computingrelated to Further readingNature Communications0.60section
Reservoir computingrelated to Further readingScientific Reports February0.60section
Reservoir computingrelated to Further readingOptics Express0.60section
Reservoir computingrelated to Further readingModels0.60section
Reservoir computingrelated to Further readingMachine0.60section
Reservoir computingrelated to Further readingNeural Computation0.60section

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