Prediction of PM2.5 Concentration in a Agricultural Park Based on BP Artificial Neural Network-Reference-Cited by-同舟云学术

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Prediction of PM2.5 Concentration in a Agricultural Park Based on BP Artificial Neural Network

Published:2016-06-05 Issue:4 Volume:11 Page:274-280
ISSN:2042-4868
Container-title:Advance Journal of Food Science and Technology
language:
Short-container-title:AJFST

Author:

Chen Bo,Wang Xiaoping,Yu Lixuan,Wang Huan,Li Yanfang,Chen Junqi,Zhu Jiangang,Nan Hailong,Hou Limin

Publisher

Maxwell Scientific Publication Corp.

Subject

Industrial and Manufacturing Engineering,General Chemistry,Food Science

Cited by 9 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Creep Constitutive Model Research Of High Temperature Reactor Structure Using Artificial Neural Network;2024

2. Automated neural network forecast of PM_2.5 concentration;International Journal of Mathematics and Computer in Engineering;2023-06-01

3. Uncertainty quantification of PM2.5 concentrations using a hybrid model based on characteristic decomposition and fuzzy granulation;Journal of Environmental Management;2022-12

4. Exploiting PSO-SVM and sample entropy in BEMD for the prediction of interval-valued time series and its application to daily PM2.5 concentration forecasting;Applied Intelligence;2022-07-19

5. Shelf Life Prediction of ‘Royal Gala’ Apples Based on Quality Attributes and Storage Temperature;Horticultural Science and Technology;2021-06-30

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