Self-Organizing Multiple Readouts for Reservoir Computing

Self-Organizing Multiple Readouts for Reservoir Computing

With advancements in deep learning (DL), artificial intelligence (AI) technology has become an indispensable tool. However, the application of DL incurs significant computational costs, making it less viable for edge AI scenarios. Consequently, the demand for cost-effective AI solutions, other than...

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Bibliographic Details
Main Authors: Yuichiro Tanaka, Hakaru Tamukoh
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Catastrophic forgetting
continuous learning
echo state network
edge computing
ensemble learning
reservoir computing
Online Access:https://ieeexplore.ieee.org/document/10347199/

Internet

https://ieeexplore.ieee.org/document/10347199/

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