1、第 3 期段双明,等:基于改进残差网络的锂离子电池故障诊断参考文献:1 刘洋,程强,史曜炜,等.基于注意力模块及 1D-CNN 的滚动轴承故障诊断J.太阳能学报,2022,43(3):462-468.LIU Y,CHENG Q,SHI Y W,et al.Fault diagnosis of rolling bea-rings based on attention module and 1D-CNNJ.Acta Energiae Solaris Sinica,2022,43(3):462-468.2 刘宇晴,王天昊,徐旭.深度学习神经网络的新型自适应激活函数J.吉林大学学报(理学版),2019
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8、onference on Machine Learning.New York:JMLR.org,2016,48:507-516.11 HE K M,ZHANG X Y,REN S Q,et al.Deep residual learning for image recognitionC/Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition.Las Vegas:IEEE,2016:770-778.收稿日期:2022-10-2650多年精心打造的品牌荣获首届“国家期刊奖”的杂志欢迎刊登 2023
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