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Journal: Entropy, 2022
Volume: 24
Number: 408
408
Article:
A Hybrid Method Using HAVOK Analysis and Machine Learning for Predicting Chaotic Time Series
Authors:
by
Jinhui Yang, Juan Zhao, Junqiang Song, Jianping Wu, Chengwu Zhao and Hongze Leng
Link:
https://www.mdpi.com/1099-4300/24/3/408
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Cite
Yang, J.; Zhao, J.; Song, J.; Wu, J.; Zhao, C.; Leng, H. A Hybrid Method Using HAVOK Analysis and Machine Learning for Predicting Chaotic Time Series. Entropy 2022, 24, 408. https://doi.org/10.3390/e24030408
Yang J, Zhao J, Song J, Wu J, Zhao C, Leng H. A Hybrid Method Using HAVOK Analysis and Machine Learning for Predicting Chaotic Time Series. Entropy. 2022; 24(3):408. https://doi.org/10.3390/e24030408
Chicago/Turabian StyleYang, Jinhui, Juan Zhao, Junqiang Song, Jianping Wu, Chengwu Zhao, and Hongze Leng. 2022. "A Hybrid Method Using HAVOK Analysis and Machine Learning for Predicting Chaotic Time Series" Entropy 24, no. 3: 408. https://doi.org/10.3390/e24030408
APA StyleYang, J., Zhao, J., Song, J., Wu, J., Zhao, C., & Leng, H. (2022). A Hybrid Method Using HAVOK Analysis and Machine Learning for Predicting Chaotic Time Series. Entropy, 24(3), 408. https://doi.org/10.3390/e24030408