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Jang, Bongsoo
Computational Mathematical Science Lab.
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dc.citation.conferencePlace SP -
dc.citation.conferencePlace Valencia -
dc.citation.title 9th International Congress on Industrial and Applied Mathematics (ICIAM 2019) -
dc.contributor.author Park, Eonyong -
dc.contributor.author Choi, JaeSung -
dc.contributor.author Jang, Bongsoo -
dc.date.accessioned 2024-02-01T00:06:44Z -
dc.date.available 2024-02-01T00:06:44Z -
dc.date.created 2019-09-30 -
dc.date.issued 2019-07-15 -
dc.description.abstract In this work, we propose a new frame of Reservoir computing(RC) by using a Complex Nonlinear System. Due to the several properties of the nonlinear system, the proposed RC provides an excellent performance of the task for predicting and reconstructing several types of information such as time series, image. To improve the performance of RC, we investigate an appropriate train length as well as the method for constructing the Reservoir. -
dc.identifier.bibliographicCitation 9th International Congress on Industrial and Applied Mathematics (ICIAM 2019) -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/79490 -
dc.language 영어 -
dc.publisher International Council for Industrial and Applied Mathematics -
dc.title Reservoir Computing with Complex Nonlinear System -
dc.type Conference Paper -
dc.date.conferenceDate 2019-07-15 -

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