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Transferring Learning from External to Internal Weights in Echo-State Networks with Sparse Connectivity
Modifying weights within a recurrent network to improve performance on a task has proven to be difficult. Echo-state networks in which modification is restricted to the weights of connections onto network outputs provide an easier alternative, but at the expense of modifying the typically sparse arc...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Public Library of Science
2012
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3360031/ https://ncbi.nlm.nih.gov/pubmed/22655041 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0037372 |
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