Zhao, L.; Bai, Y.; Zhang, S.; Wang, Y.; Kang, J.; Zhang, W.
A Novel Hybrid Model for Short-Term Traffic Flow Prediction Based on Extreme Learning Machine and Improved Kernel Density Estimation. Sustainability 2022, 14, 16361.
https://doi.org/10.3390/su142416361
AMA Style
Zhao L, Bai Y, Zhang S, Wang Y, Kang J, Zhang W.
A Novel Hybrid Model for Short-Term Traffic Flow Prediction Based on Extreme Learning Machine and Improved Kernel Density Estimation. Sustainability. 2022; 14(24):16361.
https://doi.org/10.3390/su142416361
Chicago/Turabian Style
Zhao, Leina, Yujia Bai, Sishi Zhang, Yanpeng Wang, Jie Kang, and Wenxuan Zhang.
2022. "A Novel Hybrid Model for Short-Term Traffic Flow Prediction Based on Extreme Learning Machine and Improved Kernel Density Estimation" Sustainability 14, no. 24: 16361.
https://doi.org/10.3390/su142416361
APA Style
Zhao, L., Bai, Y., Zhang, S., Wang, Y., Kang, J., & Zhang, W.
(2022). A Novel Hybrid Model for Short-Term Traffic Flow Prediction Based on Extreme Learning Machine and Improved Kernel Density Estimation. Sustainability, 14(24), 16361.
https://doi.org/10.3390/su142416361