Title | ||
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Reliability Enhancement of Inverter-Based Memristor Crossbar Neural Networks Using Mathematical Analysis of Circuit Non-Idealities |
Abstract | ||
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In this paper, the sensitivity of the neural network (NN) outputs to device parameter uncertainties (non-idealities) in inverter-based memristor (IM) crossbar neuromorphic circuits is mathematically modeled and verified using exhaustive circuit and system-level simulations. The NN sensitivity is obtained by modeling the sensitivity of the IM neuron output to the n... |
Year | DOI | Venue |
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2021 | 10.1109/TCSI.2021.3105043 | IEEE Transactions on Circuits and Systems I: Regular Papers |
Keywords | DocType | Volume |
Inverters,Neurons,Artificial neural networks,Memristors,Sensitivity,Training,Integrated circuit modeling | Journal | 68 |
Issue | ISSN | Citations |
10 | 1549-8328 | 1 |
PageRank | References | Authors |
0.37 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Shaghayegh Vahdat | 1 | 14 | 3.10 |
Mehdi Kamal | 2 | 189 | 30.41 |
Ali Afzali-Kusha | 3 | 81 | 11.95 |
Massoud Pedram | 4 | 7801 | 1211.32 |