Adaptive time-delayed photonic reservoir computing based on Kalman-filter training
We propose an adaptive time-delayed photonic reservoir computing (RC) structure by utilizing the Kalman filter (KF) algorithm as training approach. Two benchmark tasks, namely the Santa Fe time-series prediction and the nonlinear channel equalization, are adopted to evaluate the performance of the p...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Optica Publishing Group (formerly OSA)
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |