Prediction and analysis of PM2.5 in Fuling District of Chongqing by artificial neural network

Author:

Wang Xianghong,Yuan Jing,Wang Baozhen

Funder

Natural Science Foundation of Chongqing

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference20 articles.

1. Liu G, Li X, Hu F (2000) Neural network prediction of air pollutant concentration. China Environ Sci 20(05):45–47

2. Li J, Luan S, You MH (2010) Introduction to the principle of artificial neural network. Mod Educ Sci S1:98–99

3. Chin CS, Ji X, Woo WL et al (2019) Modified multiple generalized regression neural network models using fuzzy C-means with principal component analysis for noise prediction of offshore platform. Neural Comput Appl 31:1127–1142

4. Zheng H, Shang X (2013) Study on prediction of atmospheric PM2.5 based on RBF neural network. In: Fourth international conference on digital manufacturing and automation. IEEE, pp 1287–1289

5. Yang Y, Yan-Li FU (2015) The prediction of mass concentration of PM2.5 based on T–S fuzzy neural network. J Shaanxi Univ Sci Technol 33(6):162–166

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