Physical Reservoir Computing Enabled by Solitary Waves and Biologically Inspired Nonlinear Transformation of Input Data
Reservoir computing (RC) systems can efficiently forecast chaotic time series using the nonlinear dynamical properties of an artificial neural network of random connections. The versatility of RC systems has motivated further research on both hardware counterparts of traditional RC algorithms and mo...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-02-01
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| Series: | Dynamics |
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| Online Access: | https://www.mdpi.com/2673-8716/4/1/7 |