Adaptive optics correction using recurrent neural networks for wavefront prediction

dc.contributor.author	Pérez Fernández, Saúl
dc.contributor.author	Buendía Roca, Alejandro
dc.contributor.author	González Gutiérrez, Carlos
dc.contributor.author	Rodríguez Rodríguez, Javier
dc.contributor.author	Iglesias Álvarez, Santiago
dc.contributor.author	Anangonó Tutasig, Ronny
dc.contributor.author	Sánchez Lasheras, Fernando
dc.contributor.author	Cos Juez, Francisco Javier de
dc.date.accessioned	2024-02-26T07:38:07Z
dc.date.available	2024-02-26T07:38:07Z
dc.date.issued	2023
dc.identifier.isbn	978-303142535-6
dc.identifier.issn	2367-3370
dc.identifier.uri	https://hdl.handle.net/10651/71506
dc.description	International Conference on Soft Computing Models in Industrial and Environmental Applications, SOCO (18th. 2023. Salamanca, Spain)
dc.format.extent	p. 354-363
dc.language.iso	eng
dc.relation.ispartof	18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023).
dc.relation.ispartofseries	Lecture Notes in Networks and Systems; 750
dc.rights	© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85172726840&doi=10.1007%2f978-3-031-42536-3_34&partnerID=40&md5=ca2dcb90fa19a799d0a4827c0675bcae
dc.title	Adaptive optics correction using recurrent neural networks for wavefront prediction
dc.type	conference output
dc.identifier.doi	10.1007/978-3-031-42536-3_34
dc.relation.publisherversion	http://dx.doi.org/10.1007/978-3-031-42536-3_34

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