{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:50:36Z","timestamp":1742914236820,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030269791"},{"type":"electronic","value":"9783030269807"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019]]},"DOI":"10.1007\/978-3-030-26980-7_19","type":"book-chapter","created":{"date-parts":[[2019,8,18]],"date-time":"2019-08-18T23:03:04Z","timestamp":1566169384000},"page":"180-187","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Predicting Bending Moments with Machine Learning"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2863-2603","authenticated-orcid":false,"given":"Elena","family":"Celledoni","sequence":"first","affiliation":[]},{"given":"Halvor S.","family":"Gustad","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5557-0858","authenticated-orcid":false,"given":"Nikita","family":"Kopylov","sequence":"additional","affiliation":[]},{"given":"Henrik S.","family":"Sundklakk","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,8,2]]},"reference":[{"key":"19_CR1","doi-asserted-by":"publisher","unstructured":"Auth\u00e9n, K.: Learning from riser analyses and predicting results with artificial neural networks. In: Volume 3B: Structures, Safety and Reliability. ASME, V03BT02A056, June 2017. https:\/\/doi.org\/10.1115\/OMAE2017-61775","DOI":"10.1115\/OMAE2017-61775"},{"key":"19_CR2","unstructured":"Burkov, A.: The Hundred-Page Machine Learning Book, Quebec (2019)"},{"key":"19_CR3","unstructured":"Chang, B.: et al.: AntisymmetricRNN: a dynamical system view on recurrent neural networks. In: International Conference on Learning Representations (2019)"},{"key":"19_CR4","first-page":"384","volume-title":"Deep Learning with Python","author":"F Chollet","year":"2017","unstructured":"Chollet, F.: Deep Learning with Python, vol. 28, p. 384. Manning Publications, New York (2017)"},{"issue":"1","key":"19_CR5","doi-asserted-by":"publisher","first-page":"014004","DOI":"10.1088\/1361-6420\/aa9a90","volume":"34","author":"E Haber","year":"2017","unstructured":"Haber, E., Ruthotto, L.: Stable architectures for deep neural networks. Inverse Prob. 34(1), 014004 (2017). https:\/\/doi.org\/10.1088\/1361-6420\/aa9a90","journal-title":"Inverse Prob."},{"key":"19_CR6","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4471-5337-5","volume-title":"Dynamics and Control of Mechanical Systems in Off Shore Engineering","author":"W He","year":"2014","unstructured":"He, W., et al.: Dynamics and Control of Mechanical Systems in Off Shore Engineering. Springer-Verlag, London (2014). https:\/\/doi.org\/10.1007\/978-1-4471-5337-5"},{"key":"19_CR7","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1017\/S0962492910000048","volume":"19","author":"M Hochbruck","year":"2010","unstructured":"Hochbruck, M., Ostermann, A.: Exponential integrators. Acta Numerica 19, 209\u2013286 (2010). https:\/\/doi.org\/10.1017\/S0962492910000048","journal-title":"Acta Numerica"},{"issue":"1","key":"19_CR8","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1007\/s12182-015-0063-4","volume":"13","author":"K Liu","year":"2016","unstructured":"Liu, K., et al.: Nonlinear dynamic analysis and fatigue damage assessment for a deepwater test string subjected to random loads. Petrol. Sci. 13(1), 126\u2013134 (2016). https:\/\/doi.org\/10.1007\/s12182-015-0063-4","journal-title":"Petrol. Sci."},{"issue":"1","key":"19_CR9","doi-asserted-by":"publisher","first-page":"279","DOI":"10.2174\/1874834101609010279","volume":"9","author":"X Liu","year":"2016","unstructured":"Liu, X., et al.: Analysis on the operation fatigue of deepwater drilling riser system. Open Petrol. Eng. J. 9(1), 279\u2013287 (2016). https:\/\/doi.org\/10.2174\/1874834101609010279","journal-title":"Open Petrol. Eng. J."},{"issue":"1","key":"19_CR10","doi-asserted-by":"publisher","first-page":"163","DOI":"10.1007\/s11831-017-9232-5","volume":"26","author":"C Meier","year":"2019","unstructured":"Meier, C., Popp, A., Wall, W.A.: Geometrically exact finite element formulations for slender beams: Kirchhoff\u2013Love theory versus Simo\u2013Reissner theory. Arch. Comput. Methods Eng. 26(1), 163\u2013243 (2019). https:\/\/doi.org\/10.1007\/s11831-017-9232-5","journal-title":"Arch. Comput. Methods Eng."},{"issue":"4","key":"19_CR11","first-page":"149","volume":"189","author":"JR Morison","year":"1950","unstructured":"Morison, J.R., et al.: The force exerted by surface waves on piles. Petrol. Trans., AIME 189(4), 149\u2013154 (1950)","journal-title":"Petrol. Trans., AIME"},{"key":"19_CR12","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., et al.: Scikit-learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"19_CR13","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1017\/jfm.2018.872","volume":"861","author":"M Raissi","year":"2019","unstructured":"Raissi, M., et al.: Deep learning of vortex-induced vibrations. J. Fluid Mech. 861, 119\u2013137 (2019). https:\/\/doi.org\/10.1017\/jfm.2018.872","journal-title":"J. Fluid Mech."},{"key":"19_CR14","volume-title":"Fundamentals of Marine Riser Mechanics","author":"C Sparks","year":"2007","unstructured":"Sparks, C.: Fundamentals of Marine Riser Mechanics. PennWell Corporation, Tulsa (2007)"},{"issue":"3\u20134","key":"19_CR15","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1016\/s0278-4343(02)00210-8","volume":"23","author":"F Vikeb\u00f8","year":"2003","unstructured":"Vikeb\u00f8, F., et al.: Wave height variations in the North Sea and on the Norwegian Continental Shelf, 1881\u20131999. Cont. Shelf Res. 23(3\u20134), 251\u2013263 (2003). https:\/\/doi.org\/10.1016\/s0278-4343(02)00210-8","journal-title":"Cont. Shelf Res."}],"container-title":["Lecture Notes in Computer Science","Geometric Science of Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-26980-7_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T18:03:22Z","timestamp":1710266602000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-26980-7_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030269791","9783030269807"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-26980-7_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"2 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"GSI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Geometric Science of Information","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Toulouse","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 August 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"29 August 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"gsi2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.see.asso.fr\/GSI2019","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}