Publications
International Journal of Advanced Network, Monitoring and Controls
Xi'an Technological University
Subject: Computer Science, Software Engineering
eISSN: 2470-8038
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The Prediction of Haze Based on BP Neural Network and Matlab
Ma Limei * / Wang Fangwei
Keywords : BP neural network, haze, Matlab
Citation Information : International Journal of Advanced Network, Monitoring and Controls. Volume 2, Issue 2, Pages 107-119, DOI: https://doi.org/10.1109/iccnea.2017.21
License : (CC BY-NC-ND 4.0)
Published Online: 09-April-2018
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ARTICLE
ABSTRACT
In this paper, the neural network theory is used to establish the BP neural network prediction system for the occurrence of haze. The corresponding parameters are determined by MATLAB language, and the effect of the model is tested by the prediction of Shijiazhuang area. The result shows the feasibility of the predictive model. So it’s valuable and has a bright future.
FIGURES & TABLES
REFERENCES
GaoNing. Forecast and MATLAB implementation of crop pest forecasting based on BP neural network. Anhui Agriculture University, 2003,29 (2): 191-151.
Ma Limei. Neural network stock forecasting system based on.2005 in Beijing University of Posts and Telecommunications.
Ai Hongfu, et al. Forecast of fog and haze based on Bp artificial neural network. Computer simulation, 2015 (1): 402:406