Skip to content
Publish & Distribute
Publishing Solutions
Distribution Solutions
Library Services
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Journal Matcher
Blog
Contact
Search
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Journal of Artificial Intelligence and Soft Computing Research
Volume 10 (2020): Issue 4 (October 2020)
Open Access
Data-Driven Temporal-Spatial Model for the Prediction of AQI in Nanjing
Xuan Zhao
Xuan Zhao
School of Mathematics, Southeast University
Nanjing, China
Search for this author on
Sciendo
|
Google Scholar
Zhao, Xuan
,
Meichen Song
Meichen Song
School of Mathematics, Southeast University
Nanjing, China
Search for this author on
Sciendo
|
Google Scholar
Song, Meichen
,
Anqi Liu
Anqi Liu
School of Mathematics, Southeast University
Nanjing, China
Search for this author on
Sciendo
|
Google Scholar
Liu, Anqi
,
Yiming Wang
Yiming Wang
School of Mathematics, Southeast University
Nanjing, China
Search for this author on
Sciendo
|
Google Scholar
Wang, Yiming
,
Tong Wang
Tong Wang
School of Mathematics, Southeast University
Nanjing, China
Search for this author on
Sciendo
|
Google Scholar
Wang, Tong
and
Jinde Cao
Jinde Cao
School of Mathematics, Southeast University
Nanjing, China
Search for this author on
Sciendo
|
Google Scholar
Cao, Jinde
Jun 15, 2020
Journal of Artificial Intelligence and Soft Computing Research
Volume 10 (2020): Issue 4 (October 2020)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Download Cover
Published Online:
Jun 15, 2020
Page range:
255 - 270
Received:
Mar 18, 2020
Accepted:
May 05, 2020
DOI:
https://doi.org/10.2478/jaiscr-2020-0017
Keywords
Air quality prediction
,
k-Nearest Neighbor
,
BP neural network
,
Non-monitoring stations
© 2020 Xuan Zhao et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
