Optimized LSTM based on an improved sparrow search algorithm for power battery fault diagnosis in new energy vehicles

被引：0
|
作者：
Zhou, Shengwei [1 ]
Zhou, Juan [1 ]
Zhang, Shun [1 ]
Wang, Peng [2 ]
机构：
[1] School of Quality and Safety Engineering, China Jiliang University, Hangzhou,310018, China
[2] China Automotive Engineering Research Institute, Chongqing,401122, China
来源：
International Journal of Metrology and Quality Engineering | 2024年 / 15卷
关键词：
Failure analysis;
D O I：
10.1051/ijmqe/2024012
中图分类号：
学科分类号：
摘要：
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