Тип публикации: статья из журнала
Год издания: 2024
Идентификатор DOI: 10.1051/e3sconf/202458302012
Аннотация: <jats:p>In this study, a neural network model has been developed to analyze the suitability of water based on its chemical and physical characteristics. The ecological significance of the task is due to the need for effective monitoring of the quality of water resources, which are an essential element of ecosystems and directly affПоказать полностьюect human health and the environment. The model has demonstrated a high accuracy of 87%, which confirms its effectiveness for automated analysis of water quality. The results of the study indicate the importance of parameters such as pH and concentration of pollutants for determining the suitability of water. The developed model can be implemented into environmental monitoring systems, providing more rapid and accurate detection of pollution and improving decision-making processes in water resources management.</jats:p>
Журнал: E3S Web of Conferences
Выпуск журнала: Т. 583
Номера страниц: 02012
ISSN журнала: 25550403
Место издания: Les Ulis
Издатель: EDP Sciences - Web of Conferences