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Type: BOOK - Published: 2016-03-04 - Publisher: Springer
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Type: BOOK - Published: 2019-10-25 - Publisher: Springer Nature
This book is primarily concerned with the computational aspects of predictability of dynamical systems - in particular those where observations, modeling and co
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Type: BOOK - Published: 2022-02-14 - Publisher: Springer Nature
The book represents the first attempt to systematically deal with the use of deep neural networks to forecast chaotic time series. Differently from most of the
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Pages: 147
Type: BOOK - Published: 2017-03-27 - Publisher: Springer
This book is primarily concerned with the computational aspects of predictability of dynamical systems – in particular those where observation, modeling and c
Language: en
Pages: 440
Pages: 440
Type: BOOK - Published: 2006-08-24 - Publisher: Cambridge University Press
A clear introduction to chaotic phenomena for undergraduate students in science, engineering, and mathematics.