Reservoir Computers with Random and Optimized Time-Shifts
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arXiv
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| Hauptverfasser: | , , |
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| Format: | Preprint |
| Veröffentlicht: |
2021
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| _version_ | 1866914838397059072 |
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| author | Del Frate, Enrico Shirin, Afroza Sorrentino, Francesco |
| author_facet | Del Frate, Enrico Shirin, Afroza Sorrentino, Francesco |
| contents | We investigate the effects of application of random time-shifts to the readouts of a reservoir computer in terms of both accuracy (training error) and performance (testing error.) For different choices of the reservoir parameters and different `tasks', we observe a substantial improvement in both accuracy and performance. We then develop a simple but effective technique to optimize the choice of the time-shifts, which we successfully test in numerical experiments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2108_12765 |
| institution | arXiv |
| publishDate | 2021 |
| record_format | arxiv |
| spellingShingle | Reservoir Computers with Random and Optimized Time-Shifts Del Frate, Enrico Shirin, Afroza Sorrentino, Francesco Systems and Control We investigate the effects of application of random time-shifts to the readouts of a reservoir computer in terms of both accuracy (training error) and performance (testing error.) For different choices of the reservoir parameters and different `tasks', we observe a substantial improvement in both accuracy and performance. We then develop a simple but effective technique to optimize the choice of the time-shifts, which we successfully test in numerical experiments. |
| title | Reservoir Computers with Random and Optimized Time-Shifts |
| topic | Systems and Control |
| url | https://arxiv.org/abs/2108.12765 |