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Fine-Tuning and the Stability of Recurrent Neural Networks
A central criticism of standard theoretical approaches to constructing stable, recurrent model networks is that the synaptic connection weights need to be finely-tuned. This criticism is severe because proposed rules for learning these weights have been shown to have various limitations to their bio...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2011
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3181247/ https://www.ncbi.nlm.nih.gov/pubmed/21980334 http://dx.doi.org/10.1371/journal.pone.0022885 |