Tian, M.; Zhu, J.; Xiong, H.; Liu, W.; Liu, T.; Zhang, Y.; Wang, S.; Zhang, K.; Liao, M.; Xu, Y.
Research on an Ultra-Short-Term Working Condition Prediction Method Based on a CNN-LSTM Network. Electronics 2023, 12, 1391.
https://doi.org/10.3390/electronics12061391
AMA Style
Tian M, Zhu J, Xiong H, Liu W, Liu T, Zhang Y, Wang S, Zhang K, Liao M, Xu Y.
Research on an Ultra-Short-Term Working Condition Prediction Method Based on a CNN-LSTM Network. Electronics. 2023; 12(6):1391.
https://doi.org/10.3390/electronics12061391
Chicago/Turabian Style
Tian, Mengqing, Jijun Zhu, Huaping Xiong, Wanwei Liu, Tao Liu, Yan Zhang, Shunzhi Wang, Kejia Zhang, Mingyue Liao, and Yixing Xu.
2023. "Research on an Ultra-Short-Term Working Condition Prediction Method Based on a CNN-LSTM Network" Electronics 12, no. 6: 1391.
https://doi.org/10.3390/electronics12061391
APA Style
Tian, M., Zhu, J., Xiong, H., Liu, W., Liu, T., Zhang, Y., Wang, S., Zhang, K., Liao, M., & Xu, Y.
(2023). Research on an Ultra-Short-Term Working Condition Prediction Method Based on a CNN-LSTM Network. Electronics, 12(6), 1391.
https://doi.org/10.3390/electronics12061391