Using a reservoir computer to learn chaotic attractors, with applications to chaos synchronisation and cryptography

Using the machine learning approach known as reservoir computing, it is possible to train one dynamical system to emulate another. We show that such trained reservoir computers reproduce the properties of the attractor of the chaotic system sufficiently well to exhibit chaos synchronisation... (read more)

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