A New PM2.5 Air Pollution Forecasting Model Based on Data Mining and BP Neural Network Model
作者： Anna Li , Xiao Xu
关键词: Data mining 、 Artificial neural network 、 Air pollution 、 Computer science
摘要:
sci-hub.st 参考文章(8)
Sanda Florentina Mihalache, Marian Popescu, Mihaela Oprea, Particulate matter prediction using ANFIS modelling techniques international conference on system theory, control and computing. pp. 895- 900 ,(2015) , 10.1109/ICSTCC.2015.7321408
Tzu-Yi Pai, Ching-Lin Ho, Shyh-Wei Chen, Huang-Mu Lo, Pao-Jui Sung, Shu-Wen Lin, Wei-Jia Lai, Shih-Chi Tseng, Shu-Ping Ciou, Jui-Ling Kuo, Jing-Tang Kao, Using Seven Types of GM (1, 1) Model to Forecast Hourly Particulate Matter Concentration in Banciao City of Taiwan Water Air and Soil Pollution. ,vol. 217, pp. 25- 33 ,(2011) , 10.1007/S11270-010-0564-0
D. Domańska, M. Wojtylak, Application of fuzzy time series models for forecasting pollution concentrations Expert Systems with Applications. ,vol. 39, pp. 7673- 7679 ,(2012) , 10.1016/J.ESWA.2012.01.023
Lin Wang, Yi Zeng, Tao Chen, Back propagation neural network with adaptive differential evolution algorithm for time series forecasting Expert Systems With Applications. ,vol. 42, pp. 855- 863 ,(2015) , 10.1016/J.ESWA.2014.08.018
Sean W Fleming, Artificial neural network forecasting of nonlinear Markov processes Canadian Journal of Physics. ,vol. 85, pp. 279- 294 ,(2007) , 10.1139/P07-037
Kemal Polat, S. Savaş Durduran, Usage of output-dependent data scaling in modeling and prediction of air pollution daily concentration values (PM10) in the city of Konya Neural Computing and Applications. ,vol. 21, pp. 2153- 2162 ,(2012) , 10.1007/S00521-011-0661-Z
Chak K. Chan, Xiaohong Yao, Air pollution in mega cities in China Atmospheric Environment. ,vol. 42, pp. 1- 42 ,(2008) , 10.1016/J.ATMOSENV.2007.09.003
Àngela Nebot, Francisco Mugica, Small-Particle Pollution Modeling Using Fuzzy Approaches SIMULTECH (Selected Papers). pp. 239- 252 ,(2014) , 10.1007/978-3-319-03581-9_17