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- W2887028239 abstract "this paper describes the relationship of climate toatmospheric particulate matter. The climate factors ofprecipitation, humidity, temperature and wind speed aremapped to the fine-particulate substances measured as being 2.5micrometers in diameter (PM2.5). Using the climate variablesas indicators, the paper illustrates a method for estimating theconcentration potential for PM2.5 in the near-groundatmosphere. The preferred method described is selected fromthree analytical approaches compared using a common data set.The three methods used are Multiple Linear Regression (MLR),Multilayer Perceptron (MLP) and Fuzzy Neural Networksmetho" @default.
- W2887028239 created "2018-08-22" @default.
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- W2887028239 date "2017-12-01" @default.
- W2887028239 modified "2023-09-25" @default.
- W2887028239 title "Modelling Climate Data Factors Influencing Fine-Particulate Matter Density in the Near-Ground Atmosphere" @default.
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- W2887028239 doi "https://doi.org/10.1109/ams.2017.15" @default.
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