A Multifault‐Tolerant Training Scheme for Nonideal Memristive Neural Networks
Memristor crossbar is extensively investigated as an energy‐efficient accelerator for neural network (NN) computations. However, hardware implementation of NNs using realistic memristors is challenging due to the ubiquity of faults (mainly classified into hard and soft faults) in memristors. Herein,...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-05-01
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| Series: | Advanced Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aisy.202100237 |