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Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses
In an increasingly data-rich world the need for developing computing systems that cannot only process, but ideally also interpret big data is becoming continuously more pressing. Brain-inspired concepts have shown great promise towards addressing this need. Here we demonstrate unsupervised learning...
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| Vydáno v: | Nat Commun |
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| Hlavní autoři: | , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Nature Publishing Group
2016
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5056401/ https://ncbi.nlm.nih.gov/pubmed/27681181 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/ncomms12611 |
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