02022nam 2200553 450 991054486000332120230508100907.03-030-94482-4(MiAaPQ)EBC6888342(Au-PeEL)EBL6888342(OCoLC)1298389061(CKB)21251233100041(PPN)260827223(EXLCZ)992125123310004120220929d2021 uy 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierDeep learning in multi-step prediction of chaotic dynamics from deterministic models to real-world systems /Matteo Sangiorgio, Fabio Dercole, Giorgio GuarisoCham, Switzerland :Springer,[2021]©20211 online resource (111 pages)SpringerBriefs in Applied Sciences and TechnologyPrint version: Sangiorgio, Matteo Deep Learning in Multi-Step Prediction of Chaotic Dynamics Cham : Springer International Publishing AG,c2022 9783030944810 SpringerBriefs in applied sciences and technology.Caos (Teoria de sistemes)thubModels matemàticsthubAprenentatge automàticthubChaotic behavior in systemsMathematical modelsDeep learning (Machine learning)Llibres electrònicsthubCaos (Teoria de sistemes)Models matemàticsAprenentatge automàticChaotic behavior in systemsMathematical models.Deep learning (Machine learning)003.857015118Sangiorgio Matteo1198545Dercole FabioGuariso GiorgioMiAaPQMiAaPQMiAaPQBOOK9910544860003321Deep learning in multi-step prediction of chaotic dynamics2919038UNINA