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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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reservoir computing quantum neural networks readout input network recurrent dynamics state system computation computers reservoirs systems nonlinear learning linear trained
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| 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 | 0.90 | text |
| Reservoir computing | is a | internal structure of the computer | 0.90 | text |
| recurrent neural networks | instance of | It is a generalisation of earlier neural network architectures | 0.80 | text |
| liquid-state machines | instance of | It is a generalisation of earlier neural network architectures | 0.80 | text |
| echo-state networks | instance of | It is a generalisation of earlier neural network architectures | 0.80 | text |
| a linear regression or a Ridge regression | instance of | and by utilizing a training method | 0.80 | text |
| Reservoir computing | related to Further reading | Nature Communications | 0.60 | section |
| Reservoir computing | related to Further reading | Scientific Reports February | 0.60 | section |
| Reservoir computing | related to Further reading | Optics Express | 0.60 | section |
| Reservoir computing | related to Further reading | Models | 0.60 | section |
| Reservoir computing | related to Further reading | Machine | 0.60 | section |
| Reservoir computing | related to Further reading | Neural Computation | 0.60 | section |
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