Cite
Stacking integrated learning model via ELM and GRU with mixture correntropy loss for robust state of health estimation of lithium-ion batteries.
MLA
Xue, Jingsong, et al. “Stacking Integrated Learning Model via ELM and GRU with Mixture Correntropy Loss for Robust State of Health Estimation of Lithium-Ion Batteries.” Energy, vol. 284, Dec. 2023, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.energy.2023.129279.
APA
Xue, J., Ma, W., Feng, X., Guo, P., Guo, Y., Hu, X., & Chen, B. (2023). Stacking integrated learning model via ELM and GRU with mixture correntropy loss for robust state of health estimation of lithium-ion batteries. Energy, 284, N.PAG. https://doi.org/10.1016/j.energy.2023.129279
Chicago
Xue, Jingsong, Wentao Ma, Xiaoyang Feng, Peng Guo, Yaosong Guo, Xianzhi Hu, and Badong Chen. 2023. “Stacking Integrated Learning Model via ELM and GRU with Mixture Correntropy Loss for Robust State of Health Estimation of Lithium-Ion Batteries.” Energy 284 (December): N.PAG. doi:10.1016/j.energy.2023.129279.