Reservoir Computing with Delayed Input for Fast and Easy Optimisation

Reservoir computing is a machine learning method that solves tasks using the response of a dynamical system to a certain input. As the training scheme only involves optimising the weights of the responses of the dynamical system, this method is particularly suited for hardware implementation. Furthe...

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Bibliografiske detaljer

Principais autores:	Lina Jaurigue, Elizabeth Robertson, Janik Wolters, Kathy Lüdge
Format:	Artigo
Sprog:	Inglês
Udgivet:	MDPI AG 2021-11-01
Serier:	Entropy
Fag:	reservoir computing time series prediction performance optimisation
Online adgang:	https://www.mdpi.com/1099-4300/23/12/1560
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