Short-term ship traffic flow prediction based on EEMD-PE-LSTM and visualization of channel traffic state

doi:10.16411/j.cnki.issn1006-7736.2023.02.007

PDF(15646 KB)

Journal of Dalian Maritime University ›› 2023, Vol. 49 ›› Issue (2) : 58-68. DOI: 10.16411/j.cnki.issn1006-7736.2023.02.007

Short-term ship traffic flow prediction based on EEMD-PE-LSTM and visualization of channel traffic state

{{article.zuoZhe_EN}}

Author information +

History +

HeighLight

Abstract

Key words

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

{{article.zuoZheEn_L}}. {{article.title_en}}. {{journal.qiKanMingCheng_EN}}. 2023, 49(2): 58-68 https://doi.org/10.16411/j.cnki.issn1006-7736.2023.02.007

References

Publishing order | Descend order by publishing year | Descend order by cited within

References

Funding

RIGHTS & PERMISSIONS

PDF(15646 KB)

Accesses

Citation

Detail

Sections

Recommended

Published
2023-06-29
Just Accepted Date	Issue Date
2022-12-16	2022-12-16

Please choose a citation manager

Content to export

HeighLight

Abstract

Key words

Cite this article

{{custom_sec.title}}

{{custom_sec.title}}

References

References

{{custom_fnGroup.title_en}}

Footnotes

{{custom_ack.title_en}}

Funding

RIGHTS & PERMISSIONS