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- W89516741 abstract "The goal of this paper is to analyze the tropospheric ozone (O3) concentration time series and its prediction using artificial neural networks (ANNs). Tropospheric ozone has harmful effects on human health and on the environment. This study was based on daily averaged tropospheric ozone (O3) data from Pardubice in the Czech Republic. In this study, daily averaged ozone concentrations in Pardubice were predicted using a radial basis function network (RBFN) with three pollutant parameters and three meteorological factors in selected areas. We used a three-layer ANN, which consists of input, hidden, and output layers." @default.
- W89516741 created "2016-06-24" @default.
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- W89516741 date "2015-01-01" @default.
- W89516741 modified "2023-09-26" @default.
- W89516741 title "The Prediction of Tropospheric Ozone Using a Radial Basis Function Network" @default.
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- W89516741 doi "https://doi.org/10.1007/978-3-319-10759-2_13" @default.
- W89516741 hasPublicationYear "2015" @default.
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