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- W4311926166 abstract "In this paper, we investigate how using an empirical method you can get the optimal set of data parameters supplied to the input of a convolutional neural network. Parameters are a set of input channels and texture size. As a result of the work appropriate with conducted experimetns consisting in training a neural network with various input parameters, their optimal values were determined. In this paper, it is shown that with a small size of the neural network architecture, the empirical method can achieve the desired result." @default.
- W4311926166 created "2023-01-02" @default.
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- W4311926166 date "2022-11-09" @default.
- W4311926166 modified "2023-10-02" @default.
- W4311926166 title "Empirical Method for Determination of the Optimal Parameters of a Convolutional Neural Network in Working with Remote Sensing Data" @default.
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- W4311926166 doi "https://doi.org/10.1109/summa57301.2022.9973950" @default.
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