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20182021
most citedA Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data

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cs.LG2021★ 1 cited

A Meta-learning Approach to Reservoir Computing: Time Series Prediction with Limited Data

Daniel Canaday, Andrew Pomerance, Michelle Girvan

Recent research has established the effectiveness of machine learning for data-driven prediction of the future evolution of unknown dynamical systems, including chaotic systems. Ho…

cs.LG2018

Rapid Time Series Prediction with a Hardware-Based Reservoir Computer

Daniel Canaday, Aaron Griffith, Daniel Gauthier

Reservoir computing is a neural network approach for processing time-dependent signals that has seen rapid development in recent years. Physical implementations of the technique us…