A noise-immune and attention-based multi-modal framework for short-term traffic flow forecasting-Reference-Cited by-同舟云学术

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A noise-immune and attention-based multi-modal framework for short-term traffic flow forecasting

Published:2023-09-05 Issue: Volume: Page:
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Tan Guanru,Zhou Teng^ORCID,Huang Boyu,Dou Haowen,Song Youyi,Lin Zhizhe

Funder

National Natural Science Foundation of China

2022 Guangdong Basic and Applied Basic Research Foundation

STU Incubation Project for the Research of Digital Humanities and New Liberal Arts

2020 Li Ka Shing Foundation Cross-Disciplinary Research Grant

Open Fund of Guangdong Provincial Key Laboratory of Infectious Diseases and Molecular Immunopathology

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-023-09173-x.pdf

Reference58 articles.

1. Cai L, Zhang Z, Yang J, Yidan Y, Zhou T, Qin J (2019) A noise-immune Kalman filter for short-term traffic flow forecasting. Physica A Stat Mech Appl 536:122601. https://doi.org/10.1016/j.physa.2019.122601

2. Cai L, Yidan Yu, Zhang S, Song Y, Xiong Z, Zhou T (2020a) A sample-rebalanced outlier-rejected k-nearest neighbour regression model for short-term traffic flow forecasting. IEEE Access 8:22686–22696. https://doi.org/10.1109/ACCESS.2020.2970250

3. Cai W, Yang J, Yidan Yu, Song Y, Zhou T, Qin J (2020b) PSO-ELM: a hybrid learning model for short-term traffic flow forecasting. IEEE Access 8:6505–6514. https://doi.org/10.1109/ACCESS.2019.2963784

4. Cai L, Lei M, Zhang S, Yidan Yu, Zhou T, Qin J (2020c) A noise-immune LSTM network for short-term traffic flow forecasting. Chaos 30(2):023135. https://doi.org/10.1063/1.5120502

5. Chai W, Zheng Y, Tian L, Qin J, Zhou T (2023) GA-KELM: genetic-algorithm-improved kernel extreme learning machine for traffic flow forecasting. Mathematics 11(16):3574

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