| Autor: |
Rakhmatova, A. Y., Sergeev, A. P., Shichkin, A. V., Buevich, A. G. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2019, Vol. 2174 Issue 1, p020159-1-020159-5, 5p |
| Abstrakt: |
An algorithm for separate data into training and test subsamples to predict the spatial distribution of chromium in the surface layer of the soil using artificial neural networks (ANN) was proposed. The algorithm takes into account the spatial inhomogeneity of the modelled variable. The data was obtained during the soil screening on the urbanized area in Novy Urengoy city. A model, which used controlled separation, had shown more accurate results. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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