This thesis concerns the long range prediction of high dimensional chaotic systems. To this end, I investigate the important relationship between predictability
It is now generally recognised that very simple dynamical systems can produce apparently random behaviour. In the last couple of years, attention has turned to
This book is primarily concerned with the computational aspects of predictability of dynamical systems - in particular those where observations, modeling and co
This graduate–level textbook is devoted to understanding, prediction and control of high–dimensional chaotic and attractor systems of real life. The objecti
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
