Reservoir Computing with Delayed Input for Fast and Easy Optimisation
Reservoir computing is a machine learning method that solves tasks using the response of a dynamical system to a certain input. As the training scheme only involves optimising the weights of the responses of the dynamical system, this method is particularly suited for hardware implementation. Furthe...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
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MDPI AG
2021-11-01
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| Edice: | Entropy |
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| On-line přístup: | https://www.mdpi.com/1099-4300/23/12/1560 |
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