Stacked LSTMs Short-Term Ship Traffic Flow Prediction Model based on Attention Mechanism

doi:10.16411/j.cnki.issn1006-7736.2024.01.007

PDF(12530 KB)

Journal of Dalian Maritime University ›› 2024, Vol. 50 ›› Issue (1) : 57-65. DOI: 10.16411/j.cnki.issn1006-7736.2024.01.007

Stacked LSTMs Short-Term Ship Traffic Flow Prediction Model based on Attention Mechanism

{{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}}. 2024, 50(1): 57-65 https://doi.org/10.16411/j.cnki.issn1006-7736.2024.01.007

References

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

References

Funding

RIGHTS & PERMISSIONS

PDF(12530 KB)

Accesses

Citation

Detail

Sections

Recommended

Received	Revised	Accepted	Published
2023-07-15	2023-10-09	2023-10-09	2024-03-15
Just Accepted Date	Issue Date
2023-10-09	2024-03-28

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