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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-26666
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dc.contributor.authorBolt, Peter-
dc.contributor.authorKünzi, Raffael-
dc.contributor.authorZiebart, Volker-
dc.contributor.authorFüchslin, Rudolf Marcel-
dc.contributor.authorMotich, Mohammed-
dc.contributor.authorAntoni, Mathieu-
dc.contributor.authorFinger, Marc-Aurèle-
dc.contributor.authorBürki, Matthias-
dc.date.accessioned2023-01-19T15:25:25Z-
dc.date.available2023-01-19T15:25:25Z-
dc.date.issued2023-01-11-
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/26666-
dc.language.isoende_CH
dc.publisherZHAW Zürcher Hochschule für Angewandte Wissenschaftende_CH
dc.rightsNot specifiedde_CH
dc.subjectMachine learningde_CH
dc.subjectClinker productionde_CH
dc.subjectPhysics informedde_CH
dc.subjectPrediction modelde_CH
dc.subjectFree limede_CH
dc.subjectFeature selectionde_CH
dc.subject.ddc006: Spezielle Computerverfahrende_CH
dc.subject.ddc660: Technische Chemiede_CH
dc.titleOptimizing cement production by employing physics informed machine learningde_CH
dc.typeKonferenz: Posterde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Angewandte Mathematik und Physik (IAMP)de_CH
dc.identifier.doi10.21256/zhaw-26666-
zhaw.conference.detailsDatalab Symposium, Winterthur, Schweiz, 11. Januar 2023de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewKeine Begutachtungde_CH
zhaw.webfeedDatalabde_CH
zhaw.webfeedIndustrie 4.0de_CH
zhaw.funding.zhawÖkologische und ökonomische Prozessoptimierung in der Zementherstellung durch Machine Learningde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Bolt, P., Künzi, R., Ziebart, V., Füchslin, R. M., Motich, M., Antoni, M., Finger, M.-A., & Bürki, M. (2023, January 11). Optimizing cement production by employing physics informed machine learning. Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023. https://doi.org/10.21256/zhaw-26666
Bolt, P. et al. (2023) ‘Optimizing cement production by employing physics informed machine learning’, in Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. Available at: https://doi.org/10.21256/zhaw-26666.
P. Bolt et al., “Optimizing cement production by employing physics informed machine learning,” in Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023, Jan. 2023. doi: 10.21256/zhaw-26666.
BOLT, Peter, Raffael KÜNZI, Volker ZIEBART, Rudolf Marcel FÜCHSLIN, Mohammed MOTICH, Mathieu ANTONI, Marc-Aurèle FINGER und Matthias BÜRKI, 2023. Optimizing cement production by employing physics informed machine learning. In: Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023. Conference poster. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. 11 Januar 2023
Bolt, Peter, Raffael Künzi, Volker Ziebart, Rudolf Marcel Füchslin, Mohammed Motich, Mathieu Antoni, Marc-Aurèle Finger, and Matthias Bürki. 2023. “Optimizing Cement Production by Employing Physics Informed Machine Learning.” Conference poster. In Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. https://doi.org/10.21256/zhaw-26666.
Bolt, Peter, et al. “Optimizing Cement Production by Employing Physics Informed Machine Learning.” Datalab Symposium, Winterthur, Schweiz, 11. Januar 2023, ZHAW Zürcher Hochschule für Angewandte Wissenschaften, 2023, https://doi.org/10.21256/zhaw-26666.


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