An introduction to reservoir computing
Fuente:
arXiv
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866914267407581184 |
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| author | Vrugt, Michael te |
| author_facet | Vrugt, Michael te |
| contents | There is a growing interest in the development of artificial neural networks that are implemented in a physical system. A major challenge in this context is that these networks are difficult to train since training here would require a change of physical parameters rather than simply of coefficients in a computer program. For this reason, reservoir computing, where one employs high-dimensional recurrent networks and trains only the final layer, is widely used in this context. In this chapter, I introduce the basic concepts of reservoir computing. Moreover, I present some important physical implementations coming from electronics, photonics, spintronics, mechanics, and biology. Finally, I provide a brief discussion of quantum reservoir computing. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_13212 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | An introduction to reservoir computing Vrugt, Michael te Emerging Technologies Disordered Systems and Neural Networks Materials Science Artificial Intelligence Applied Physics Quantum Physics There is a growing interest in the development of artificial neural networks that are implemented in a physical system. A major challenge in this context is that these networks are difficult to train since training here would require a change of physical parameters rather than simply of coefficients in a computer program. For this reason, reservoir computing, where one employs high-dimensional recurrent networks and trains only the final layer, is widely used in this context. In this chapter, I introduce the basic concepts of reservoir computing. Moreover, I present some important physical implementations coming from electronics, photonics, spintronics, mechanics, and biology. Finally, I provide a brief discussion of quantum reservoir computing. |
| title | An introduction to reservoir computing |
| topic | Emerging Technologies Disordered Systems and Neural Networks Materials Science Artificial Intelligence Applied Physics Quantum Physics |
| url | https://arxiv.org/abs/2412.13212 |