{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,17]],"date-time":"2026-02-17T05:18:25Z","timestamp":1771305505645,"version":"3.50.1"},"publisher-location":"Cham","reference-count":13,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031425356","type":"print"},{"value":"9783031425363","type":"electronic"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-42536-3_34","type":"book-chapter","created":{"date-parts":[[2023,8,30]],"date-time":"2023-08-30T18:02:30Z","timestamp":1693418550000},"page":"354-363","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Adaptive Optics Correction Using Recurrent Neural Networks for\u00a0Wavefront Prediction"],"prefix":"10.1007","author":[{"given":"Sa\u00fal P\u00e9rez","family":"Fern\u00e1ndez","sequence":"first","affiliation":[]},{"given":"Alejandro Buend\u00eda","family":"Roca","sequence":"additional","affiliation":[]},{"given":"Carlos","family":"Gonz\u00e1lez Guti\u00e9rrez","sequence":"additional","affiliation":[]},{"given":"Javier Rodr\u00edguez","family":"Rodr\u00edguez","sequence":"additional","affiliation":[]},{"given":"Santiago Iglesias","family":"\u00c1lvarez","sequence":"additional","affiliation":[]},{"given":"Ronny Anangon\u00f3","family":"Tutasig","sequence":"additional","affiliation":[]},{"given":"Fernando","family":"S\u00e1nchez Lasheras","sequence":"additional","affiliation":[]},{"given":"Francisco Javier","family":"de Cos Juez","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,8,31]]},"reference":[{"key":"34_CR1","doi-asserted-by":"publisher","first-page":"8895","DOI":"10.3390\/s120708895","volume":"12","author":"FJ de Cos Juez","year":"2012","unstructured":"de Cos Juez, F.J., Lasheras, F.S., Roque\u00f1\u00ed, N., Osborn, J.: An ann-based smart tomographic reconstructor in a dynamic environment. Sensors (Basel, Switzerland) 12, 8895\u20138911 (2012)","journal-title":"Sensors (Basel, Switzerland)"},{"key":"34_CR2","doi-asserted-by":"publisher","first-page":"1350","DOI":"10.1093\/mnras\/stw730","volume":"459","author":"AG Basden","year":"2016","unstructured":"Basden, A.G., et al.: Experience with wavefront sensor and deformable mirror interfaces for wide-field adaptive optics systems. Monthly Not. Royal Astron. Soc. 459, 1350\u20131359 (2016)","journal-title":"Monthly Not. Royal Astron. Soc."},{"key":"34_CR3","doi-asserted-by":"crossref","unstructured":"Gonz\u00e1lez-Guti\u00e9rrez, C., Sanchez-Rodr\u00edguez, M.L., Calvo-Rolle, J.L., de Cos Juez, F.J.: Multi-GPU development of a neural networks based reconstructor for adaptive optics. In: Complexity, 2018 (Intelligent Control Approaches for Modeling and Control of Complex Systems) (2018)","DOI":"10.1155\/2018\/5348265"},{"key":"34_CR4","doi-asserted-by":"publisher","first-page":"1263","DOI":"10.3390\/s17061263","volume":"17","author":"C Gonz\u00e1lez-Guti\u00e9rrez","year":"2017","unstructured":"Gonz\u00e1lez-Guti\u00e9rrez, C., et al.: Comparative study of neural network frameworks for the next generation of adaptive optics systems. Sensors 17, 1263 (2017)","journal-title":"Sensors"},{"key":"34_CR5","doi-asserted-by":"crossref","unstructured":"Guo, Y., et al.: Adaptive optics based on machine learning: a review (2022)","DOI":"10.29026\/oea.2022.200082"},{"key":"34_CR6","doi-asserted-by":"publisher","first-page":"1950001","DOI":"10.1142\/S2251171719500016","volume":"08","author":"S Hippler","year":"2019","unstructured":"Hippler, S.: Adaptive optics for extremely large telescopes. J. Astron. Instrument. 08, 1950001 (2019)","journal-title":"J. Astron. Instrument."},{"issue":"8","key":"34_CR7","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1162\/neco.1997.9.8.1735","volume":"9","author":"S Hochreiter","year":"1997","unstructured":"Hochreiter, S., Hochreiter, S., Schmidhuber, J., Schmidhuber, J.: Long short-term memory. Neural Comput. 9(8), 1735\u20131780 (1997)","journal-title":"Neural Comput."},{"key":"34_CR8","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1038\/nature14539","volume":"521","author":"Y LeCun","year":"2015","unstructured":"LeCun, Y., Bengio, Y., Hinton, G.: Deep learning. Nature 521, 436\u2013444 (2015)","journal-title":"Nature"},{"issue":"1","key":"34_CR9","doi-asserted-by":"publisher","first-page":"456","DOI":"10.1093\/mnras\/staa1558","volume":"496","author":"X Liu","year":"2020","unstructured":"Liu, X., Morris, T., Saunter, C., de Cos Juez, F.J., Gonz\u00e1lez-Guti\u00e9rrez, C., Bardou, L.: Wavefront prediction using artificial neural networks for open-loop adaptive optics. Monthly Not. Royal Astron. Soc. 496(1), 456\u2013464 (2020)","journal-title":"Monthly Not. Royal Astron. Soc."},{"key":"34_CR10","doi-asserted-by":"crossref","unstructured":"Reeves, A.: Soapy: an adaptive optics simulation written purely in Python for rapid concept development. In: Marchetti, E., Close, L.M., V\u00e9ran, J.P. (eds.) Adaptive Optics Systems V, vol. 9909 of Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series, p. 99097F (2016)","DOI":"10.1117\/12.2232438"},{"key":"34_CR11","doi-asserted-by":"publisher","first-page":"386","DOI":"10.1037\/h0042519","volume":"65","author":"F Rosenblatt","year":"1958","unstructured":"Rosenblatt, F.: The perceptron: a probabilistic model for information storage and organization in the brain. Psychol. Rev. 65, 386\u2013408 (1958)","journal-title":"Psychol. Rev."},{"key":"34_CR12","doi-asserted-by":"publisher","first-page":"533","DOI":"10.1038\/323533a0","volume":"323","author":"DE Rumelhart","year":"1986","unstructured":"Rumelhart, D.E., Hinton, G.E., Williams, R.J.: Learning representations by back-propagating errors. Nature 323, 533\u2013536 (1986)","journal-title":"Nature"},{"issue":"1004","key":"34_CR13","doi-asserted-by":"publisher","first-page":"108012","DOI":"10.1088\/1538-3873\/ab1ebb","volume":"131","author":"SL Su\u00e1rez G\u00f3mez","year":"2019","unstructured":"Su\u00e1rez G\u00f3mez, S.L., et al.: Experience with artificial neural networks applied in multi-object adaptive optics. Publ. Astron. Soc. Pac. 131(1004), 108012 (2019)","journal-title":"Publ. Astron. Soc. Pac."}],"container-title":["Lecture Notes in Networks and Systems","18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023)"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-42536-3_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,30]],"date-time":"2023-08-30T18:06:37Z","timestamp":1693418797000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-42536-3_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031425356","9783031425363"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-42536-3_34","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"value":"2367-3370","type":"print"},{"value":"2367-3389","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"31 August 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SOCO","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Soft Computing Models in Industrial and Environmental Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Salamanca","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Spain","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"5 September 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7 September 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"18","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icscmiea2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2023.sococonference.eu\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}