Connecting reservoir computing with statistical forecasting and deep neural networks.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 35017470.
- Also identified by DOI 10.1038/s41467-021-27715-5 and PMC identifier 8752734.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
Among the existing machine learning frameworks, reservoir computing demonstrates fast and low-cost training, and its suitability for implementation in various physical systems. This Comment reports on how aspects of reservoir computing can be applied to classical forecasting methods to accelerate the learning process, and highlights a new approach that makes the hardware implementation of traditional machine learning algorithms practicable in electronic and photonic systems.