BIO Web Conf.
Volume 31, 2021VI International Scientific Conference “Problems of Industrial Botany of Industrially Developed Regions” 2021
|Number of page(s)||4|
|Published online||13 August 2021|
Methodology for assessing water quality using a neural network
1 Federal Research Center for Information and Computing Technologies, Kemerovo Branch in cooperation with the Institute of Water and Environmental Problems SB RAS, Russia
2 Federal Research Center for Information and Computing Technologies, Kemerovo Branch, Russia
* Corresponding author: email@example.com
A methodology for assessing the quality of surface and groundwater is proposed, using artificial intelligence methods, in particular, a fully connected neural network. Preliminary testing was carried out on water objects and a sufficiently high percentage of model accuracy was obtained.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.