A Hybrid Air Quality Index Prediction Model Based on CNN and Attention Gate Unit-Reference-Cited by-同舟云学术

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A Hybrid Air Quality Index Prediction Model Based on CNN and Attention Gate Unit

Published:2022 Issue: Volume:10 Page:113343-113354
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Wang Jingyang¹^ORCID,Jin Lukai¹^ORCID,Li Xiaolei¹,He Siyuan²^ORCID,Huang Min¹^ORCID,Wang Haiyao³^ORCID

Affiliation:

1. School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang, China

2. FedUni Information Engineering Institute, Hebei University of Science and Technology, Shijiazhuang, China

3. School of Ocean Mechatronics, Xiamen Ocean Vocational College, Xiamen, China

Funder

Innovation Foundation for Postgraduate of Hebei Province

Foundation of Hebei University of Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09930773.pdf?arnumber=9930773

Reference41 articles.

1. Mixture of Activation Functions With Extended Min-Max Normalization for Forex Market Prediction

2. Air quality prediction using CT-LSTM

3. Short-term traffic flow prediction based on 1DCNN-LSTM neural network structure

4. Prediction for Chaotic Time Series-Based AE-CNN and Transfer Learning

5. LHCnn: A Novel Efficient Multivariate Time Series Prediction Framework Utilizing Convolutional Neural Networks

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