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Updated: May 9, 2025

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关于记忆吸引器的强有力的学习与杂的深度关联记忆网络

Xuan Rao1, Bo Zhao1, Derong Liu2

  • 1School of Systems Science, Beijing Normal University, Beijing 100875, China.

Neural networks : the official journal of the International Neural Network Society
|April 30, 2025
PubMed
概括

噪音过度参数化的自动编码器 (NOAE) 通过在训练过程中注入噪音来提高记忆系统中的吸引器稳定性. 这种方法提高了机器学习模型的吸引器稳定性和学习成功率.

关键词:
联想式记忆是一种联想式的记忆.吸引力是一个吸引力.自动编码器自动编码器深度学习是一种深度学习.利亚普诺夫分析噪音注入的噪音注入

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