Accuracy improvement in Ag:a-Si memristive synaptic device-based neural network through Adadelta learning method on handwritten-digit recognition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-08995-y.pdf
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3. Zhu J, Zhang T, Yang Y, Huang R (2020) A comprehensive review on emerging artificial neuromorphic devices. Appl Phys Rev 7(1):011312. https://doi.org/10.1063/1.5118217
4. Kim S, Kim H-D, Choi S-J (2019) Impact of synaptic device variations on classification accuracy in a binarized neural network. Sci Rep 9(1):15237. https://doi.org/10.1038/s41598-019-51814-5
5. Burr GW, Shelby RM, Sidler S, Di Nolfo C, Jang J, Boybat I, Shenoy RS, Narayanan P, Virwani K, Giacometti EU et al (2015) Experimental demonstration and tolerancing of a large-scale neural network (165 000 synapses) using phase-change memory as the synaptic weight element. IEEE Trans Electron Devices 62(11):3498–3507. https://doi.org/10.1109/iedm.2014.7047135
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