Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Uwate, Yoko | - |
| dc.contributor.author | Schüle, Martin | - |
| dc.contributor.author | Ott, Thomas | - |
| dc.contributor.author | Noshio, Yoshifumi | - |
| dc.date.accessioned | 2021-01-14T11:00:21Z | - |
| dc.date.available | 2021-01-14T11:00:21Z | - |
| dc.date.issued | 2020-11-16 | - |
| dc.identifier.uri | https://digitalcollection.zhaw.ch/handle/11475/21305 | - |
| dc.description.abstract | In this study, performance of chaos noise injected to Echo State Network for time series prediction is investigated. For the evaluation of the chaos noise, two parameters of the logistic map are selected to produce different features as intermittency chaos and fully developed chaos. By computer simulations, it is confirmed that the three-periodic intermittency chaos noise is better perfor- mance than the fully developed chaos noise for time series prediction. | de_CH |
| dc.language.iso | en | de_CH |
| dc.rights | Licence according to publishing contract | de_CH |
| dc.subject | Time series prediction | de_CH |
| dc.subject | Echo state network | de_CH |
| dc.subject.ddc | 006: Spezielle Computerverfahren | de_CH |
| dc.title | Echo state network with chaos noise for time series prediction | de_CH |
| dc.type | Konferenz: Paper | de_CH |
| dcterms.type | Text | de_CH |
| zhaw.departement | Life Sciences und Facility Management | de_CH |
| zhaw.organisationalunit | Institut für Computational Life Sciences (ICLS) | de_CH |
| zhaw.conference.details | International Symposium on Nonlinear Theory and its Applications (NOLTA), Okinawa, Japan, 16–19 November 2020 | de_CH |
| zhaw.funding.eu | No | de_CH |
| zhaw.originated.zhaw | Yes | de_CH |
| zhaw.pages.start | 274 | de_CH |
| zhaw.publication.status | publishedVersion | de_CH |
| zhaw.publication.review | Peer review (Abstract) | de_CH |
| zhaw.title.proceedings | Proceedings of the 2020 International Symposium on Nonlinear Theory and its Applications | de_CH |
| zhaw.webfeed | Bio-Inspired Methods & Neuromorphic Computing | de_CH |
| zhaw.webfeed | Digital Environment & Sustainability | de_CH |
| zhaw.author.additional | No | de_CH |
| zhaw.display.portrait | Yes | de_CH |
| Appears in collections: | Publikationen Life Sciences und Facility Management | |
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Uwate, Y., Schüle, M., Ott, T., & Noshio, Y. (2020). Echo state network with chaos noise for time series prediction [Conference paper]. Proceedings of the 2020 International Symposium on Nonlinear Theory and Its Applications, 274.
Uwate, Y. et al. (2020) ‘Echo state network with chaos noise for time series prediction’, in Proceedings of the 2020 International Symposium on Nonlinear Theory and its Applications, p. 274.
Y. Uwate, M. Schüle, T. Ott, and Y. Noshio, “Echo state network with chaos noise for time series prediction,” in Proceedings of the 2020 International Symposium on Nonlinear Theory and its Applications, Nov. 2020, p. 274.
UWATE, Yoko, Martin SCHÜLE, Thomas OTT und Yoshifumi NOSHIO, 2020. Echo state network with chaos noise for time series prediction. In: Proceedings of the 2020 International Symposium on Nonlinear Theory and its Applications. Conference paper. 16 November 2020. S. 274
Uwate, Yoko, Martin Schüle, Thomas Ott, and Yoshifumi Noshio. 2020. “Echo State Network with Chaos Noise for Time Series Prediction.” Conference paper. In Proceedings of the 2020 International Symposium on Nonlinear Theory and Its Applications, 274.
Uwate, Yoko, et al. “Echo State Network with Chaos Noise for Time Series Prediction.” Proceedings of the 2020 International Symposium on Nonlinear Theory and Its Applications, 2020, p. 274.
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