A Survey on Reservoir Computing and its Interdisciplinary Applications Beyond Traditional Machine Learning

A Survey on Reservoir Computing and its Interdisciplinary Applications Beyond Traditional Machine Learning

Reservoir computing (RC), first applied to temporal signal processing, is a recurrent neural network in which neurons are randomly connected. Once initialized, the connection strengths remain unchanged. Such a simple structure turns RC into a non-linear dynamical system that maps low-dimensional inp...

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Bibliographic Details
Main Authors: Heng Zhang, Danilo Vasconcellos Vargas
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Reservoir computing
neural networks
recurrent neural networks
nonlinear dynamical systems
cognitive neuroscience
Online Access:https://ieeexplore.ieee.org/document/10196105/

Internet

https://ieeexplore.ieee.org/document/10196105/

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