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- W2022996904 abstract "In the report a method of ozone profile concentration retrieving from the lidar data sounding on the basis of neural networks (NN) is description. Application of neural networks in inverse tasks is connected with solving some important stages. In the first, it is necessary to carry out training of NN on the basis of the big data set (measurement - decision). In the second, basing on the results of the first stage to generate optimum NN (number of layers, transfer functions). Results of simulation inverse task of ozone profile concentration retrieving from the lidar data sounding have shown reliability of work in NN, speed of the inverse tasks solving and accuracy of retrieving ozone profile comparable to traditional methods." @default.
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- W2022996904 date "2004-02-23" @default.
- W2022996904 modified "2023-09-27" @default.
- W2022996904 title "<title>Application of neural networks for retrieving atmospheric gases concentration profile for lidar sounding data</title>" @default.
- W2022996904 doi "https://doi.org/10.1117/12.548590" @default.
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