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Design of Early Warning System of PM2.5 Detection Based on BP Neural

机译:基于BP神经网络的PM2.5检测预警系统设计。

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摘要

The issue of PM2.5 is becoming a popular atmospheric research hotpot recently. This particular paper evaluates the era reasons as well as influencing factors associated with PM2.5 based on the information associated with PM2.5 in Xing Tai (2014. 01. 01 - 2014. 04. 26), and builds the actual era as well as evolution mode of PM2.5 in Xing Tai by utilizing evolutionary algorithms formula and BP neuron logical network. Lastly, the actual model's effectiveness, versatility as well as reliability tend to be validated by experiments.
机译:最近,PM2.5问题正成为一个流行的大气研究热点。本文根据邢台(2014. 01. 01-2014. 04. 26)中与PM2.5相关的信息,评估了与PM2.5相关的时代原因以及影响因素,并建立了实际的时代利用演化算法公式和BP神经元逻辑网络作为邢台PM2.5的演化模式。最后,实际模型的有效性,多功能性和可靠性倾向于通过实验来验证。

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