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Tailoring Echo State Networks for Optimal Learning
As one of the most important paradigms of recurrent neural networks, the echo state network (ESN) has been applied to a wide range of fields, from robotics to medicine, finance, and language processing. A key feature of the ESN paradigm is its reservoir—a directed and weighted network of neurons tha...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Elsevier
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7452343/ https://www.ncbi.nlm.nih.gov/pubmed/32827856 http://dx.doi.org/10.1016/j.isci.2020.101440 |