Hight fault tolerance in neural crossbar

@article{Chabi2010HightFT,
  title={Hight fault tolerance in neural crossbar},
  author={Djaafar Chabi and Jacques-Olivier Klein},
  journal={5th International Conference on Design & Technology of Integrated Systems in Nanoscale Era},
  year={2010},
  pages={1-6}
}
Proposed nanometer-scale electronic devices are generally expected to feature an increased probability of manufacturing defects. We present in this paper a novel, highly fault-tolerant architecture, based on memristor crossbar architecture that may enable reliable implementation of neural network. Simulation results of our learning method inspired of Delta rule [1] for monolayer crossbar, exhibits very fast convergence rate to learn Boolean functions. In addition we simulate the impact of… CONTINUE READING
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