Cargando…
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...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2012
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3360031/ https://www.ncbi.nlm.nih.gov/pubmed/22655041 http://dx.doi.org/10.1371/journal.pone.0037372 |