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A Deep Belief Network Based Model for Urban Haze Prediction
2018
Tehnički Vjesnik
In order to improve the accuracy of urban haze prediction, a novel deep belief network (DBN)-based model was proposed. Firstly, data pertaining to both air quality and the environment (e.g. meteorology) data was monitored and collected. The primary haze influencing elements were discovered by analyzing the correlations between each of the meteorological factors and haze. Secondly, a DBN combined with multilayer restricted Boltzmann machines and a single-layer back propagation network was
doi:10.17559/tv-20180204162632
fatcat:56fhjgtqrnh3dai5qmaur5wezm