Deep Learning in Multi-step Prediction of Chaotic Dynamics: From Deterministic Models to Real-World Systems - SpringerBriefs in Applied Sciences and Technology - Matteo Sangiorgio - Books - Springer Nature Switzerland AG - 9783030944810 - February 15, 2022
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Matteo Sangiorgio
Deep Learning in Multi-step Prediction of Chaotic Dynamics: From Deterministic Models to Real-World Systems - SpringerBriefs in Applied Sciences and Technology 1st ed. 2021 edition

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The book represents the first attempt to systematically deal with the use of deep neural networks to forecast chaotic time series.

104 pages, 50 Tables, color; 25 Illustrations, color; 21 Illustrations, black and white; XII, 104 p.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released February 15, 2022
ISBN13 9783030944810
Publishers Springer Nature Switzerland AG
Pages 104
Dimensions 150 × 220 × 10 mm   ·   191 g
Language German  

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