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

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.