Qingyang Zhang:
ORCID: https://orcid.org/0000-0003-3362-6416
Role: InvestigationRole: Methodology
Shouyong Jiang: Role: Methodology
Shengxiang Yang: Role: MethodologyRole: Resources
Hui Song: Role: Methodology
Seyedali Mirjalili: Role: Editor
Journal ID (nlm-ta): PLoS One
Journal ID (iso-abbrev): PLoS One
Journal ID (publisher-id): plos
Title:
PLoS ONE
Publisher:
Public Library of Science
(San Francisco, CA USA
)
ISSN
(Electronic):
1932-6203
Publication date Collection: 2021
Publication date
(Electronic):
3
August
2021
Volume: 16
Issue: 8
Electronic Location Identifier: e0254839
Affiliations
[1
]
School of Computer Science and Technology, Jiangsu Normal University, Xuzhou, CO,
China
[2
]
School of Computer Science, University of Lincoln, Lincoln, CO, United Kingdom
[3
]
School of Computer Science and Informatics, De Montfort University, Leicester, United
Kingdom
Torrens University Australia, AUSTRALIA
Author notes
Competing Interests: The authors declare that they have no known competing financial interests or personal
relationships that could have appeared to influence the work reported in this paper.
Author information
Article
Publisher ID:
PONE-D-21-11897
DOI: 10.1371/journal.pone.0254839
PMC ID: 8330920
PubMed ID: 34343178
SO-VID: bc376e04-6bbc-4911-a084-4c1b690775f7
Copyright © © 2021 Zhang et al
License:
This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided
the original author and source are credited.
Funded by:
funder-id http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
Award ID: 62006103
Award Recipient
:
ORCID: https://orcid.org/0000-0003-3362-6416
Qingyang Zhang
Funded by:
Jiangsu Meteorological Science Institute (CN)
Award ID: 20KJB110021
Award Recipient
:
ORCID: https://orcid.org/0000-0003-3362-6416
Qingyang Zhang
Funded by:
funder-id http://dx.doi.org/10.13039/501100001809, national natural science foundation of china;
Award ID: 61872168
Award Recipient
:
ORCID: https://orcid.org/0000-0003-3362-6416
Qingyang Zhang
This work is supported by the National Natural Science Foundation of China under Grants
62006103 and 61872168, in part by the Jiangsu national science research of high education
under Grand 20KJB110021.
Subject:
Research Article
Subject:
Physical Sciences
Subject:
Mathematics
Subject:
Applied Mathematics
Subject:
Algorithms
Subject:
Research and Analysis Methods
Subject:
Simulation and Modeling
Subject:
Algorithms
Subject:
Physical Sciences
Subject:
Mathematics
Subject:
Optimization
Subject:
Research and Analysis Methods
Subject:
Mathematical and Statistical Techniques
Subject:
Mathematical Functions
Subject:
Curve Fitting
Subject:
Research and Analysis Methods
Subject:
Mathematical and Statistical Techniques
Subject:
Statistical Methods
Subject:
Forecasting
Subject:
Physical Sciences
Subject:
Mathematics
Subject:
Statistics
Subject:
Statistical Methods
Subject:
Forecasting
Subject:
Physical Sciences
Subject:
Mathematics
Subject:
Applied Mathematics
Subject:
Algorithms
Subject:
Machine Learning Algorithms
Subject:
Research and Analysis Methods
Subject:
Simulation and Modeling
Subject:
Algorithms
Subject:
Machine Learning Algorithms
Subject:
Computer and Information Sciences
Subject:
Artificial Intelligence
Subject:
Machine Learning
Subject:
Machine Learning Algorithms
Subject:
Biology and Life Sciences
Subject:
Ecology
Subject:
Ecological Metrics
Subject:
Species Diversity
Subject:
Ecology and Environmental Sciences
Subject:
Ecology
Subject:
Ecological Metrics
Subject:
Species Diversity
Subject:
Biology and Life Sciences
Subject:
Population Biology
Subject:
Population Dynamics
Subject:
Earth Sciences
Subject:
Geography
Subject:
Human Geography
Subject:
Urban Geography
Subject:
Urban Areas
Subject:
Social Sciences
Subject:
Human Geography
Subject:
Urban Geography
Subject:
Urban Areas
Subject:
Earth Sciences
Subject:
Geography
Subject:
Geographic Areas
Subject:
Urban Areas
