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- aggregation classification "P1".
- aggregation creator person.
- aggregation creator person.
- aggregation creator person.
- aggregation date "2008".
- aggregation hasFormat 678847.bibtex.
- aggregation hasFormat 678847.csv.
- aggregation hasFormat 678847.dc.
- aggregation hasFormat 678847.didl.
- aggregation hasFormat 678847.doc.
- aggregation hasFormat 678847.json.
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- aggregation hasFormat 678847.yaml.
- aggregation isPartOf urn:isbn:978-3-540-87535-2.
- aggregation isPartOf urn:issn:0302-9743.
- aggregation language "eng".
- aggregation publisher "Springer".
- aggregation rights "I have transferred the copyright for this publication to the publisher".
- aggregation subject "Technology and Engineering".
- aggregation title "Stable Output Feedback in Reservoir Computing Using Ridge Regression".
- aggregation abstract "An important property of Reservoir Computing, and signal processing techniques in general, is generalization and noise robustness. In tra jectory generation tasks, we don't want that a small deviation leads to an instability. For forecasting and system identification we want to avoid over-fitting. In prior work on Reservoir Computing, the addition of noise to the dynamic reservoir tra jectory is generally used. In this work, we show that high-performing reservoirs can be trained using only the commonly used ridge regression. We experimentally validate these claims on two very different tasks: long-term, robust tra jectory generation and system identification of a heating tank with variable dead-time.".
- aggregation authorList BK230057.
- aggregation endPage "817".
- aggregation startPage "808".
- aggregation volume "5163".
- aggregation isDescribedBy 678847.
- aggregation similarTo LU-678847.