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Machine learning prediction of critical transition and system collapse

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dc.contributor.authorKong, Ling-Wei
dc.contributor.authorFan, Hua-Wei
dc.contributor.authorGrebogi, Celso
dc.contributor.authorLai, Ying-Cheng
dc.contributor.institutionUniversity of Aberdeen.Physicsen
dc.contributor.institutionUniversity of Aberdeen.Institute for Complex Systems and Mathematical Biology (ICSMB)en
dc.date.accessioned2021-01-29T14:02:01Z
dc.date.available2021-01-29T14:02:01Z
dc.date.issued2021-01-28
dc.descriptionACKNOWLEDGMENTS We would like to acknowledge support from the Vannevar Bush Faculty Fellowship program sponsored by the Basic Research Office of the Assistant Secretary of Defense for Research and Engineering and funded by the Office of Naval Research through Grant No. N00014-16-1-2828.en
dc.description.statusPeer revieweden
dc.format.extent14
dc.format.extent2601846
dc.identifier186549781
dc.identifier91a9f680-0eb5-4199-b320-933ee2923d05
dc.identifier85102664572
dc.identifier.citationKong, L-W, Fan, H-W, Grebogi, C & Lai, Y-C 2021, 'Machine learning prediction of critical transition and system collapse', Physical Review Research, vol. 3, no. 1, 013090. https://doi.org/10.1103/PhysRevResearch.3.013090en
dc.identifier.doi10.1103/PhysRevResearch.3.013090
dc.identifier.iss1en
dc.identifier.issn2643-1564
dc.identifier.otherRIS: urn:B310CEA4E7566BEC3D682C33410EA068
dc.identifier.otherRIS: 10.1103/PhysRevResearch.3.013090
dc.identifier.otherArXiv: http://arxiv.org/abs/2012.01545v1
dc.identifier.otherORCID: /0000-0002-9811-4617/work/107062302
dc.identifier.urihttps://hdl.handle.net/2164/15747
dc.identifier.urlhttp://arxiv.org/abs/2012.01545v1en
dc.identifier.vol3en
dc.language.isoeng
dc.relation.ispartofPhysical Review Researchen
dc.subjectSubstantive connection via an eligible employment contracten
dc.subjectcs.LGen
dc.subjectcs.AIen
dc.subjectmath.DSen
dc.subjectphysics.data-anen
dc.subjectQC Physicsen
dc.subjectQA Mathematicsen
dc.subject.lccQCen
dc.subject.lccQAen
dc.titleMachine learning prediction of critical transition and system collapseen
dc.typeJournal articleen

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