Просмотр коллекции по группе - По автору Shichkin, A. V.

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Дата публикацииНазваниеАвторы
2018Comparison of artificial neural network, random forest and random perceptron forest for forecasting the spatial impurity distributionShichkin, A. V.; Buevich, A. G.; Sergeev, A. P.
2019Data separation for training the artificial neural network to simulate the spatial distribution of chromium in the surface layer of the soilRakhmatova, A. Y.; Sergeev, A. P.; Shichkin, A. V.; Buevich, A. G.
2017High variation subarctic topsoil pollutant concentration prediction using neural network residual krigingSergeev, A. P.; Tarasov, D. A.; Buevich, A. G.; Subbotina, I. E.; Shichkin, A. V.; Sergeeva, M. V.; Lvova, O. A.
2017Modeling of surface dust concentration in snow cover at industrial area using neural networks and krigingSergeev, A. P.; Tarasov, D. A.; Buevich, A. G.; Shichkin, A. V.; Tyagunov, A. G.; Medvedev, A. N.
2018Multilayer perceptron, generalized regression neural network, and hybrid model in predicting the spatial distribution of impurity in the topsoil of urbanized areaSubbotina, I. E.; Buevich, A. G.; Shichkin, A. V.; Sergeev, A. P.; Tarasov, D. A.; Tyagunov, A. G.; Sergeeva, M. V.; Baglaeva, E. M.
2017Topsoil pollution forecasting using artificial neural networks on the example of the abnormally distributed heavy metal at Russian subarcticTarasov, D. A.; Buevich, A. G.; Sergeev, A. P.; Shichkin, A. V.; Baglaeva, E. M.
2020Two-step combined algorithm for improving the accuracy of predicting methane concentration in atmospheric air based on the narx neural network and subsequent prediction of residualsSubbotina, I. E.; Buevich, A. G.; Sergeev, A. P.; Shichkin, A. V.; Baglaeva, E. M.; Remezova, M. S.