Ozonosphere forecasting algorithm based on artificial intelligence
A technology of artificial intelligence and the ozone layer, applied in the direction of calculation, neural learning methods, computer-aided design, etc., can solve the problems of complex causes of atmospheric ozone pollution, cumbersome mathematical modeling process, inconvenient ozone concentration, etc., to achieve accurate and efficient ozone concentration, High generalization, accurate and efficient prediction effect
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[0046] Example 1
[0047] See figure 1 The present invention provides a technical solution: based on artificial intelligence of ozone layer forecasting algorithms, including the following steps:
[0048] S1. Establish an ozone concentration monitoring site: Select the position that has no effect on the surrounding environment and the active contaminants as an ozone concentration monitoring site;
[0049] S2. Collection, acquisition, acquisition, get a daily concentration data of each ozone concentration monitoring site, each ozone concentration monitoring site history daily concentration data and each ozone concentration monitoring site history Daily reference As a result, each ozone concentration monitoring site history The daily reference results for each ozone concentration monitoring site history daily concentration data and each ozone concentration monitoring site history daily concentration data;
[0050] S3. Choose the impact factor: Select Yesterday O 3 -8H value, PM2.5 av...
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