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Enhanced storage capacity with errors in scale-free Hopfield neural networks: An analytical study
The Hopfield model is a pioneering neural network model with associative memory retrieval. The analytical solution of the model in mean field limit revealed that memories can be retrieved without any error up to a finite storage capacity of O(N), where N is the system size. Beyond the threshold, the...
| 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/PMC5659639/ https://www.ncbi.nlm.nih.gov/pubmed/29077721 http://dx.doi.org/10.1371/journal.pone.0184683 |