{"id":27227,"date":"2024-11-18T10:22:09","date_gmt":"2024-11-18T09:22:09","guid":{"rendered":"https:\/\/cio.umh.es\/?p=27227"},"modified":"2025-09-29T11:12:37","modified_gmt":"2025-09-29T09:12:37","slug":"seminario-cio-prometeo-ulrich","status":"publish","type":"post","link":"https:\/\/cio.umh.es\/en\/2024\/11\/18\/seminario-cio-prometeo-ulrich\/","title":{"rendered":"Seminario CIO-Prometeo: Predicting chaotic dynamics with reservoir computing"},"content":{"rendered":"

T\u00edtulo:<\/strong> Predicting chaotic dynamics with reservoir computing
\n<\/span><\/p>\n

Ponente:<\/strong> Ulrich Parlitz (Max Planck Institute for Dynamics and Self-Organization)<\/p>\n

Fecha y hora:<\/strong> 04\/12\/2024, 12:00<\/span><\/p>\n

Inscripci\u00f3n online (cierre 30 minutos antes del inicio): <\/strong>https:\/\/forms.gle\/dvaxftX815mttHvN9<\/a><\/span><\/p>\n

Lugar<\/strong>:<\/strong> Sala de Seminarios del Edificio Torretamarit (CIO) y online<\/span><\/p>\n

Organizador: <\/strong>Jos\u00e9 Mar\u00eda Amig\u00f3 Garc\u00eda<\/span><\/p>\n

Financiaci\u00f3n:<\/span><\/b> Proyecto Prometeo 2021-063 – Generalitat Valenciana (https:\/\/prometeodatos.umh.es<\/a>)<\/span><\/p>\n

\"\"<\/p>\n

 <\/p>\n

Abstract: <\/strong><\/p>\n

Reservoir computing utilizes the response of driven dynamical systems for predicting and analyzing time series. After a brief introduction to the basics and classical examples of reservoir computing, we will discuss the role of generalized synchronization and present two approaches to increase the prediction performance. One is the use of delayed values of input and state variables of the reservoir system and the other is the use of parallel reservoirs in combination with linear dimensionality reduction to predict time series of spatially extended, chaotic systems (e.g. Kuramoto-Sivashinsky equation).<\/p>\n

Referencia:<\/strong><\/p>\n

Referencias. Parlitz U (2024) Learning from the past: reservoir computing using delayed variables. Front. Appl. Math. Stat. 10:1221051. doi: 10.3389\/fams.2024.1221051<\/p>\n

 <\/p>","protected":false},"excerpt":{"rendered":"

T\u00edtulo: Predicting chaotic dynamics with reservoir computing<\/p>\n

Ponente: Ulrich Parlitz (Max Planck Institute for Dynamics and Self-Organization)
\nFecha y hora: 04\/12\/2024, 12:00
\nInscripci\u00f3n online (cierre 30 minutos antes del inicio): https:\/\/forms.gle\/dvaxftX815mttHvN9
\nLugar: Sala de Seminarios del Edificio Torretamarit (CIO) y online
\nOrganizador: Jos\u00e9 Mar\u00eda Amig\u00f3 Garc\u00eda
\nFinanciaci\u00f3n: Proyecto Prometeo 2021-063 – Generalitat Valenciana (https:\/\/prometeodatos.umh.es)<\/p>\n

 
\nAbstract:
\nReservoir computing utilizes the response of driven […]<\/p>","protected":false},"author":3477,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_links_to":"","_links_to_target":""},"categories":[873],"tags":[],"_links":{"self":[{"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/posts\/27227"}],"collection":[{"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/users\/3477"}],"replies":[{"embeddable":true,"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/comments?post=27227"}],"version-history":[{"count":0,"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/posts\/27227\/revisions"}],"wp:attachment":[{"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/media?parent=27227"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/categories?post=27227"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cio.umh.es\/en\/wp-json\/wp\/v2\/tags?post=27227"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}