Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses
oleh: Alexander Serb, Johannes Bill, Ali Khiat, Radu Berdan, Robert Legenstein, Themis Prodromakis
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2016-09-01 |
Deskripsi
Artificial neural networks exhibit learning abilities and can perform tasks which are tricky for conventional computing systems, such as pattern recognition. Here, Serb et al. show experimentally that memristor arrays can learn reversibly from noisy data thanks to sophisticated learning rules.