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增强量子化memristor神经网络的现场更新:一个语网络学习方法

Jinpei Tan1,2, Fengyun Zhang1, Jiening Wu1,2

  • 1College of Artificial Intelligence, Southwest University, Chongqing, 400715 China.

Cognitive neurodynamics
|November 13, 2024
PubMed
概括

这项研究介绍了一个罗网络用于训练memristor神经网络,显著减少重量更新,并提高对大脑启发的计算的能源效率. 该方法提高了设备的耐用性和识别精度.

关键词:
大脑启发的计算在现场培训.记忆器神经网络 (Memristor) 是一个神经网络.西安人的网络网络.重量量化量化的重量.

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