Prediction algorithm of PM2.5 mass concentration based on adaptive BP neural network

Author:

Chen YegangORCID

Publisher

Springer Science and Business Media LLC

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Numerical Analysis,Theoretical Computer Science,Software

Reference30 articles.

1. Hao J, Kebin HE, Duan L et al (2007) Air pollution and its control in China. Front Environ Sci Eng China 1(2):129–142

2. Tsai FC, Smith KR, Vichit-Vadakan N et al (2015) Indoor/outdoor PM10 and PM2.5 in Bangkok, Thailand. J Expo Anal Environ Epidemiol 26(1):112–115

3. Kim T, Valdés JB (2014) Nonlinear model for drought forecasting based on a conjunction of wavelet transforms and neural networks. Am Soc Civ Eng 8(6):319–328

4. Pérez P, Trier A, Reyes J (2000) Prediction of PM 2.5 concentrations several hours in advance using neural networks in Santiago, Chile. Atmos Environ 34(8):1189–1196(8)

5. Chan CK, Yao X (2008) Air pollution in mega cities in China. Atmos Environ 42(1):1–42

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