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On-chip Learning of Multilayer Perceptron Based on Memristors with Limited Multilevel States

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The cross-point memristor array is viewed as a promising candidate for neuromorphic computing due to its non-volatile storage and parallel computing features. However, the programming threshold and resistance fluctuation among different multilevel states restrict the capacity of weight representation and thus numerical precision. This poses great challenges for on-chip learning. This work evaluates the deterioration of learning accuracy on multilayer perceptron due to limited multilevel states and proposes stochastic 'skip-and-update' algorithm to facilitate on-chip learning with low-precision memristors.

源语言英语
主期刊名Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019
出版商Institute of Electrical and Electronics Engineers Inc.
11-12
页数2
ISBN(电子版)9781538678848
DOI
出版状态已出版 - 3月 2019
已对外发布
活动1st IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019 - Hsinchu, 中国台湾
期限: 18 3月 201920 3月 2019

出版系列

姓名Proceedings 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019

会议

会议1st IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2019
国家/地区中国台湾
Hsinchu
时期18/03/1920/03/19

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