Photonic Reservoir Computer with Output Expansion for Unsupervized Parameter Drift Compensation
We present a method to improve the performance of a reservoir computer by keeping the reservoir fixed and increasing the number of output neurons. The additional neurons are nonlinear functions, typically chosen randomly, of the reservoir neurons. We demonstrate the interest of this expanded output...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
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Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/23/8/955 |