Approaches for Assessing the Polymetallic Impact on Humans in an Urbanized Area Using Neural Network Modeling Methods
Autor: | Shagidullin Artur Rifgatovich, Novikova Svetlana Vladimirovna, Valiev Vsevolod Sergeevich, Tunakova Yulia Alekseevna, Faizullin Rashat Iskanderovich |
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Rok vydání: | 2020 |
Předmět: |
Self-organizing map
education.field_of_study Data collection Computer science Neural network modeling 05 social sciences Population Biomedical Engineering Bioengineering 010501 environmental sciences 050905 science studies computer.software_genre 01 natural sciences Set (abstract data type) Data mining 0509 other social sciences Neural network classification education Risk theory computer 0105 earth and related environmental sciences |
Zdroj: | BioNanoScience. 10:968-973 |
ISSN: | 2191-1649 2191-1630 |
DOI: | 10.1007/s12668-020-00779-1 |
Popis: | A methodology for assessing the response to the polymetallic effects of sensitive population groups has been developed using new information methods and data collection paths used for evaluation. The presented methodology takes into account the processes of polymeric intake, accumulation in the environment, and biosubstrates of the human body. The approach is presented for simultaneous accounting and analysis of dissimilar and heterogeneous data having different degrees of influence on the content of metals in human biosubstrates and the investigated components of the environment using neural self-organizing network Kohonen, implemented in the author’s model of neuronetwork filtration. A method of determining probability of exceeding the threshold values of metal concentrations in the objects under investigation using the risk theory is proposed. As the thresholds of these events, we have taken the median of continuous series of observations of metal concentrations. The facts of established exceeding the thresholds (events) were recorded in the whole set of observations, allocated in the form of clusters formed by the help of neural network classification. In this case, the spatial distribution of selected observations having specific address mappings forms the corresponding territorial zones, which can be used for operational and planned quality management of environmental components in an urbanized territory. |
Databáze: | OpenAIRE |
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