Model-size reduction for reservoir computing by concatenating internal states through time

Abstract Reservoir computing (RC) is a machine learning algorithm that can learn complex time series from data very rapidly based on the use of high-dimensional dynamical systems, such as random networks of neurons, called “reservoirs.” To implement RC in edge computing, it is highly important to re...

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Autores principales: Yusuke Sakemi, Kai Morino, Timothée Leleu, Kazuyuki Aihara
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/739fe033c48f4169b1048236ff7c25e0
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