Have a personal or library account? Click to login
Data-Driven Temporal-Spatial Model for the Prediction of AQI in Nanjing Cover

Data-Driven Temporal-Spatial Model for the Prediction of AQI in Nanjing

Journal of Artificial Intelligence and Soft Computing Research
Volume 10 (2020): Issue 4 (October 2020)
By: Xuan Zhao,  Meichen Song,  Anqi Liu,  Yiming Wang,  Tong Wang and  Jinde Cao  
Open Access
|Jun 2020

Authors

Xuan Zhao

xuanzhao11@seu.edu.cn

School of Mathematics, Southeast University, Nanjing, China

Meichen Song

School of Mathematics, Southeast University, Nanjing, China

Anqi Liu

School of Mathematics, Southeast University, Nanjing, China

Yiming Wang

School of Mathematics, Southeast University, Nanjing, China

Tong Wang

School of Mathematics, Southeast University, Nanjing, China

Jinde Cao

jdcao@seu.edu.cn

School of Mathematics, Southeast University, Nanjing, China
DOI: https://doi.org/10.2478/jaiscr-2020-0017
Journal RSS Feed
Language: English
Page range: 255 - 270
Submitted on: Mar 18, 2020
|
Accepted on: May 5, 2020
|
Published on: Jun 15, 2020
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Air quality prediction,
k-Nearest Neighbor,
BP neural network,
Non-monitoring stations
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2020 Xuan Zhao, Meichen Song, Anqi Liu, Yiming Wang, Tong Wang, Jinde Cao, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Previous articleVolume 10 (2020): Issue 4 (October 2020)Next article