Titlebook: Deep Learning in Multi-step Prediction of Chaotic Dynamics; From Deterministic M Matteo Sangiorgio,Fabio Dercole,Giorgio Guariso Book 2021

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Artificial and Real-World Chaotic Oscillators,re the prototypes of chaos in non-reversible and reversible systems, respectively, and two generalized Hénon maps, which represent cases of low- and high-dimensional hyperchaos. We also present a modified version of the traditional logistic map, introducing a slow periodic dynamic of the growth rate

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Neural Approaches for Time Series Forecasting,more tangled in the prediction on a multiple-step horizon and consequently the task can be framed in different ways. For example, one can develop a single-step predictor to be used recursively along the forecasting horizon (recursive approach) or develop a multi-output model that directly forecasts

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,Neural Predictors’ Accuracy,he classical case of measurement noise by adding a random Gaussian signal of different intensity to the deterministic output of some archetypal chaotic systems. Then, we examine the critical case of structural noise, represented by the slow variation of the growth rate parameter of the logistic map.

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responding better and faster to the changing world and growing community expectations. This chapter examines the movement of PHC in the last four decades with respect to health promotion and repeat calls to promoting PHC in making social and behavioural changes to improve population health in all c

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1569-268X al principles form the foundation. In reading the different chapters, it appears that more than ever significant advances in biotechnology very often depend on breakthroughs in the biotechnology itself (e.g.978-90-481-5741-9978-0-306-46891-9Series ISSN 1569-268X