Topsoil pollution forecasting using artificial neural networks on the example of the abnormally distributed heavy metal at Russian subarctic | Zendy

Dmitry Tarasov | Zendy; Alexander Buevich | Zendy; Alexander Sergeev | Zendy; Andrey Shichkin | Zendy; Elena Baglaeva | Zendy

Open Access

Topsoil pollution forecasting using artificial neural networks on the example of the abnormally distributed heavy metal at Russian subarctic

Author(s) -

Dmitry Tarasov,

Alexander Buevich,

Alexander Sergeev,

Andrey Shichkin,

Elena Baglaeva

Publication year - 2017

Publication title -

aip conference proceedings

Language(s) - English

Resource type - Conference proceedings

eISSN - 1551-7616

pISSN - 0094-243X

DOI - 10.1063/1.4981964

Subject(s) - kriging , artificial neural network , interpolation (computer graphics) , subarctic climate , inverse distance weighting , computer science , multilayer perceptron , multivariate interpolation , pollution , topsoil , pollutant , cross validation , environmental science , data mining , machine learning , soil science , artificial intelligence , geology , soil water , bilinear interpolation , motion (physics) , ecology , computer vision , biology , oceanography , chemistry , organic chemistry

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