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机译:锂离子电池的充电预测框架,包括长短期内存网络和转移学习
China Automot Technol & Res Ctr Co Ltd Tianjin 300300 Peoples R China;
Kunming Univ Sci & Technol Fac Transportat Engn Kunming 650500 Yunnan Peoples R China;
China Automot Technol & Res Ctr Co Ltd Tianjin 300300 Peoples R China;
Kunming Univ Sci & Technol Fac Transportat Engn Kunming 650500 Yunnan Peoples R China;
Queens Univ Belfast Sch Mech & Aerosp Engn Belfast BT9 5AG Antrim North Ireland;
Chongqing Univ State Key Lab Mech Transmiss Chongqing 400044 Peoples R China|Chongqing Univ Sch Automot Engn Chongqing 400044 Peoples R China;
Kunming Univ Sci & Technol Fac Transportat Engn Kunming 650500 Yunnan Peoples R China|Queen Mary Univ London Sch Engn & Mat Sci London E1 4NS England;
Lithium-ion battery; Long short-term memory network; State of charge; Temperature variation; Transfer learning;
机译:用于锂离子电池荷电状态估计的堆叠式双向长短期存储网络
机译:基于长时记忆和Elman神经网络混合模型的锂离子电池剩余使用寿命预测
机译:基于长短期记忆神经网络的锂离子电池的充电状态和能量估计状态
机译:带有转移学习的长时程记忆递归神经网络的锂离子电池充电状态估计
机译:在锂离子电池的固体电解质界面形成溶剂化结构和电荷转移。
机译:基于长期学习的基于深度学习的药物-靶标相互作用预测方法
机译:基于合奏的长短期记忆网络的锂离子电池深度学习预测