Name
Title | ||
|---|---|---|
Modeling And Predicting The Organochlorine Pesticides Concentration In The Child'S Body Based On Their Accumulation In The Mother'S Body |
Abstract | ||
|---|---|---|
This paper describes the problem of developing a model of a polynomial neural network and applying it to predict the concentrations of organochlorine pesticides in a child's body on the basis of their accumulation in the mother's body. The results of the use of the developed models showed that the dependence of the concentration of organochlorine xenobiotics in the child's body on its concentration in the mother's body is non-monotonic. The developed models of the polynomial neural network allowed us to establish a critical interval at which an explosive transfer of persistent organochlorine xenobiotics takes place. |
Year | Venue | Keywords |
|---|---|---|
2020 | MOMLET+DS 2020: MODERN MACHINE LEARNING TECHNOLOGIES AND DATA SCIENCE WORKSHOP | Self-Organizing Modeling, Polynomial Neural Network, Model Validation, Organochlorine Pesticides, Persistent Organic Pollutants, Biomonitoring of Exposure Environmental Exposure, Pesticides Exposure |
DocType | Volume | ISSN |
Conference | 2631 | 1613-0073 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Violetta Demchenko | 1 | 0 | 0.34 |
| Serge Olszewski | 2 | 0 | 1.01 |
| Mariia Voronenko | 3 | 1 | 2.04 |
| Eva Zaets | 4 | 0 | 0.34 |
| Nataliia Savina | 5 | 1 | 2.72 |
| Iryna Lurie | 6 | 1 | 1.71 |
| Volodymyr Lytvynenko | 7 | 4 | 2.54 |