Predict the effect of meteorological factors on haze using BP neural network-Reference-Cited by-同舟云学术

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Predict the effect of meteorological factors on haze using BP neural network

Published:2023-09 Issue: Volume:51 Page:101630
ISSN:2212-0955
Container-title:Urban Climate
language:en
Short-container-title:Urban Climate

Author:

Chen Jie,Liu Zhixin,Yin Zhengtong,Liu Xuan,Li Xiaolu,Yin Lirong,Zheng Wenfeng

Funder

Zhejiang Xinmiao Talents Program

Sichuan Province Science and Technology Support Program

Publisher

Elsevier BV

Subject

Atmospheric Science,Urban Studies,Environmental Science (miscellaneous),Geography, Planning and Development

Reference30 articles.

1. Predicting intraurban PM2.5 concentrations using enhanced machine learning approaches and incorporating human activity patterns;Ashayeri;Environ. Res.,2021

2. Evaluating the performance of ANN in predicting the concentrations of ambient air pollutants in Nicosia;Cakir;Atmosph. Poll. Res.,2020

3. Prediction algorithm of PM2.5 mass concentration based on adaptive BP neural network;Chen;Computing,2018

4. Optimal density lower bound on nonisentropic gas dynamics;Chen;J. Differ. Equ.,2020

5. Forecasting ambient air pollutants in Tehran, Iran;Dehghan;Environ. Justic.,2020

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