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Brain-inspired memory architecture for condition monitoring based on hippocampal-neocortical complementary learning

Yue Yu Zeyun Yang Xiaohui Zhang Xinkang Li Jianhui Yi Deshui Han

高速铁路（英文）2026，Vol.4Issue(2)：89-98,10.

高速铁路（英文）2026，Vol.4Issue(2)：89-98,10.DOI:10.1016/j.hspr.2025.11.001

Brain-inspired memory architecture for condition monitoring based on hippocampal-neocortical complementary learning

Yue Yu ¹Zeyun Yang ¹Xiaohui Zhang ¹Xinkang Li ¹Jianhui Yi ¹Deshui Han¹

作者信息

1. Artificial Intelligence Laboratory,CRRC Academy(Qingdao),Qingdao 266109,China||Shandong Key Laboratory of Rail Transit Digital and Intelligent Technology,Qingdao 266109,China
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摘要

关键词

Continual learning/Complementary learning systems/Principal component analysis/Condition monitoring

Key words

Continual learning/Complementary learning systems/Principal component analysis/Condition monitoring

引用本文复制引用

Yue Yu,Zeyun Yang,Xiaohui Zhang,Xinkang Li,Jianhui Yi,Deshui Han..Brain-inspired memory architecture for condition monitoring based on hippocampal-neocortical complementary learning[J].高速铁路（英文）,2026,4(2):89-98,10.

基金项目

The authors gratefully acknowledge the financial support from the National Key Research and Development Program of China(Grant No.2022YFB4301300).This funding has been instrumental in facilitating the research infrastructure and experimental validation critical to the completion of this study. （Grant No.2022YFB4301300）

高速铁路（英文）

ISSN：2949-8678

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