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The combination of circle topology and leaky integrator neurons remarkably improves the performance of echo state network on time series prediction
Recently, echo state network (ESN) has attracted a great deal of attention due to its high accuracy and efficient learning performance. Compared with the traditional random structure and classical sigmoid units, simple circle topology and leaky integrator neurons have more advantages on reservoir co...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5536322/ https://www.ncbi.nlm.nih.gov/pubmed/28759581 http://dx.doi.org/10.1371/journal.pone.0181816 |