The Predicition of Haze Based on BP Neural Network and Matlab

Limei Ma, Fangwei Wang
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引用次数: 3

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.
基于BP神经网络和Matlab的雾霾天气预测
本文运用神经网络理论,建立了雾霾发生的BP神经网络预测系统。利用MATLAB语言确定了相应的参数,并通过对石家庄地区的预测验证了模型的效果。结果表明,该预测模型是可行的。所以它是有价值的,有一个光明的未来。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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