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...

Descripció completa

Dades bibliogràfiques

Autors principals:	Lina Jaurigue, Elizabeth Robertson, Janik Wolters, Kathy Lüdge
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2021-11-01
Col·lecció:	Entropy
Matèries:	reservoir computing time series prediction performance optimisation
Accés en línia:	https://www.mdpi.com/1099-4300/23/12/1560
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!