Prediction of PM2.5 concentration in Guangzhou based on LSTM neural network-Reference-Cited by-同舟云学术

Prediction of PM2.5 concentration in Guangzhou based on LSTM neural network

Published:2021-11 Issue: Volume: Page:
ISSN:
Container-title:2021 2nd International Conference on Intelligent Computing and Human-Computer Interaction (ICHCI)
language:
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Author:

Chen Yinan¹,Yang Shichong²,Wang Qiyuan³

Affiliation:

1. College of management, Guangdong University of Technology,Guangdong Province,China

2. College of engineering, China Agricultural University,Beijing Province,China

3. College of Life Science, Sichuan University,Sichuan Province,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9708596/9708439/09708653.pdf?arnumber=9708653

Reference7 articles.

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3. Short-term Load Forecasting Method Based on CNN-LSTM Hybrid Neural Network Model[J];lu;Automation of Electric Power Systems,2019

4. A Power Load Data Prediction Method Based on LSTM Neural Network Model[J];yongzhi;Research and Exploration in Laboratory,2020

5. Long Short-Term Memory

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