Title Deep learning in multi-step prediction of chaotic dynamics : from deterministic models to real-world systems / Matteo Sangiorgio, Fabio Dercole, Giorgio Guariso

Published Cham : Springer, [2021] ©2021

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Description 1 online resource (111 pages) : illustrations (some color) Series SpringerBriefs in applied sciences and technology. PoliMI SpringerBriefs SpringerBriefs in applied sciences and technology. PoliMI SpringerBriefs. Contents Introduction to chaotic dynamics forecasting,. Basic concepts of chaos theory and nonlinear time-series analysis -- Artificial and real-world chaotic oscillators -- Neural approaches for time series forecasting -- Neural predictors accuracy -- Neural predictors sensitivity and robustness -- Concluding remarks on chaotic dynamics forecasting Summary 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 current literature, it implements a multi-step approach, i.e., the forecast of an entire interval of future values. This is relevant for many applications, such as model predictive control, that requires predicting the values for the whole receding horizon. Going progressively from deterministic models with different degrees of complexity and chaoticity to noisy systems and then to real-world cases, the book compares the performances of various neural network architectures (feed-forward and recurrent). It also introduces an innovative and powerful approach for training recurrent structures specific for sequence-to-sequence tasks. The book also presents one of the first attempts in the context of environmental time series forecasting of applying transfer-learning techniques such as domain adaptation Bibliography Includes bibliographical references and index Notes Description based upon print version of record Subject Chaotic behavior in systems -- Mathematical models Deep learning (Machine learning) Comportamiento caótico en sistemas -- Modelos matemáticos Chaotic behavior in systems -- Mathematical models Deep learning (Machine learning) Caos (Teoria de sistemes) Models matemàtics. Aprenentatge automàtic. Genre/Form Llibres electrònics. Form Electronic book Author Dercole, Fabio, author. Guariso, Giorgio, author ISBN 9783030944827 3030944824

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