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Nonlinear System Modeling with Random Matrices: Echo State Networks Revisited
Echo state networks (ESNs) are a novel form of recurrent neural networks (RNNs) that provide an efficient and powerful computational model approximating nonlinear dynamical systems. A unique feature of an ESN is that a large number of neurons (the “reservoir”) are used, whose synaptic connections ar...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2012
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4107715/ https://ncbi.nlm.nih.gov/pubmed/24808467 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TNNLS.2011.2178562 |
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