Learning unidirectional coupling using an echo-state network
نویسندگان
چکیده
Reservoir Computing has found many potential applications in the field of complex dynamics. In this article, we explore exceptional capability echo-state network (ESN) model to make it learn a unidirectional coupling scheme from only few time series data system. We show that, once trained with example dynamics drive-response system, machine is able predict response system's for any driver signal same coupling. Only an $A\ensuremath{-}B$ type system training sufficient ESN scheme. After training, even if replace drive $A$ different $C$, can reproduce $B$ using new $C$ only.
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ژورنال
عنوان ژورنال: Physical review
سال: 2023
ISSN: ['0556-2813', '1538-4497', '1089-490X']
DOI: https://doi.org/10.1103/physreve.107.064205