A Haze Prediction Algorithm Based on PCA-BP Neural Network

Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering, pp. 451-460, 2018.

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Abstract:

In this paper, we proposed a novel haze forecast model, which combine the principal component analysis with back-propagation neural network to solve the air quality problem in China. Comprehensive variables are obtained by dimension reduction on many predictive factors through principal component analysis (PCA). Then we use the comprehens...More

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