An AQI Level Forecasting Model Using Chi-square Test and BP Neural Network-Reference-Cited by-同舟云学术

An AQI Level Forecasting Model Using Chi-square Test and BP Neural Network

Published:2017 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2nd International Conference on Intelligent Information Processing - IIP'17
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Author:

Wang Haiyao¹,Wang Jingyang²,Wang Xiaohong²

Affiliation:

1. Fujian Jiangxia University, Fuzhou, China

2. Hebei University of Science and Technology, Shijiazhuang, China

Publisher

ACM Press

Reference11 articles.

1. Ai Hongfu;Shi Ying. 2015. Study on Prediction of Haze Based on BP Neural Network. Computer Simulation, Jan. 2015.

2. LI Haiyan, Liu Liang, Liang Yejin, Liu Yanbin, Wang Kejia. 2014. Application of chaotic genetic neural network to the air quality forecast. Journal of Safety and Environment, Aug. 2014.

3. Song Yuchen, Zhen Sha. 2013. The application of BP neural network and time series model to air quality forecast for Baotou. Journal of Arid Land Resources and Environment, July. 2013.

4. Zhang Pengda. 2014. Development of Predicted Model of Urban Environment Air Quality Using Artificial Neural Network. Control Theory and Applications, Vol. 3, No. 1, 2014.

5. Yan Yan, Zhang Yunpeng, Li Kaiyue, Yang Guangmei. 2013. Forecast of Xi'an ambient air quality based on BP neural network. Electronic Design Engineering, Nov. 2013.

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