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101 0 $aeng
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182   $cc$2rdamedia
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200 10$aDeep learning in multi-step prediction of chaotic dynamics $efrom deterministic models to real-world systems /$fMatteo Sangiorgio, Fabio Dercole, Giorgio Guariso
210  1$aCham, Switzerland :$cSpringer,$d[2021]
210  4$dŠ2021
215   $a1 online resource (111 pages)
225 1 $aSpringerBriefs in Applied Sciences and Technology
311 08$aPrint version: Sangiorgio, Matteo Deep Learning in Multi-Step Prediction of Chaotic Dynamics Cham : Springer International Publishing AG,c2022 9783030944810 
410  0$aSpringerBriefs in applied sciences and technology.
606   $aCaos (Teoria de sistemes)$2thub
606   $aModels matemātics$2thub
606   $aAprenentatge automātic$2thub
606   $aChaotic behavior in systems$xMathematical models
606   $aDeep learning (Machine learning)
608   $aLlibres electrōnics$2thub
615  7$aCaos (Teoria de sistemes)
615  7$aModels matemātics
615  7$aAprenentatge automātic
615  0$aChaotic behavior in systems$xMathematical models.
615  0$aDeep learning (Machine learning)
676   $a003.857015118
700   $aSangiorgio$b Matteo$01198545
702   $aDercole$b Fabio
702   $aGuariso$b Giorgio
801  0$bMiAaPQ
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906   $aBOOK
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996   $aDeep learning in multi-step prediction of chaotic dynamics$92919038
997   $aUNINA