A Sequence-to-Sequence Air Quality Predictor Based on the n-Step Recurrent Prediction

A Sequence-to-Sequence Air Quality Predictor Based on the n-Step Recurrent Prediction

Increasingly, more people are suffering from the effects of air pollution. This study took Beijing as an example and proposed an attention-based air quality predictor (AAQP) that could better protect people from air pollution. The AAQP is a seq2seq model, and it exploits historical air quality data...

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Bibliographic Details
Main Authors: Bo Liu, Shuo Yan, Jianqiang Li, Guangzhi Qu, Yong Li, Jianlei Lang, Rentao Gu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Air quality
seq2seq
attention
prediction
Online Access:https://ieeexplore.ieee.org/document/8675934/

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