Memristor-based perceptron classifier: Increasing complexity and coping with imperfect hardware

Author:

Bayat Farnood Merrikh,Prezioso Mirko,Chakrabarti Bhaswar,Kataeva Irina,Strukov Dmitri

Publisher

IEEE

Cited by 25 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. Toward Memristive Phase‐Change Neural Network with High‐Quality Ultra‐Effective Highly‐Self‐Adjustable Online Learning;Advanced Physics Research;2024-01-23

2. An overview memristor based hardware accelerators for deep neural network;Concurrency and Computation: Practice and Experience;2024-01-04

3. On the Reliability of RRAM-Based Neural Networks;2023 IFIP/IEEE 31st International Conference on Very Large Scale Integration (VLSI-SoC);2023-10-16

4. Enhancing Robustness of Memristor Crossbar‐Based Spiking Neural Networks against Nonidealities: A Hybrid Approach for Neuromorphic Computing in Noisy Environments;Advanced Intelligent Systems;2023-08-27

5. Variability-aware electrochemical metallization based memristive neural network for pattern classification;2023 18th Conference on Ph.D Research in Microelectronics and Electronics (PRIME);2023-06-18

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