Analyzing the Effects of Noise and Variation on the Accuracy of Analog Neural Networks
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IEEE
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http://xplorestaging.ieee.org/ielx7/9178719/9184428/09184644.pdf?arnumber=9184644
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Impact of white noise in artificial neural networks trained for classification: Performance and noise mitigation strategies;Chaos: An Interdisciplinary Journal of Nonlinear Science;2024-05-01
2. On the Sensitivity of Analog Artificial Neural Network Models to Process Variation;2024 IEEE 42nd VLSI Test Symposium (VTS);2024-04-22
3. Debugging Low Power Analog Neural Networks for Edge Computing;2023 Design, Automation & Test in Europe Conference & Exhibition (DATE);2023-04
4. Understanding and mitigating noise in trained deep neural networks;Neural Networks;2022-02
5. Improving Robustness In Analog Neural Networks By Introducing Sparse Connectivity;2021 55th Asilomar Conference on Signals, Systems, and Computers;2021-10-31
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