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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...

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Bibliografski detalji
Izdano u:PLoS One
Glavni autori: Kim, Do-Hyun, Park, Jinha, Kahng, Byungnam
Format: Artigo
Jezik:Inglês
Izdano: Public Library of Science 2017
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5659639/
https://ncbi.nlm.nih.gov/pubmed/29077721
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0184683
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