Comparative Analysis of Artificial Neural Networks with Classical Regression Models for Predicting Dissolved Oxygen in Water

Comparative Analysis of Artificial Neural Networks with Classical Regression Models for Predicting Dissolved Oxygen in Water

The increasing pollution of surface waters necessitates continuous monitoring of key environmental parameters to assess water quality. Dissolved Oxygen (DO) is a critical indicator of the health of aquatic ecosystems and is influenced by factors such as temperature, pH, and electrical conductivity....

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Bibliographic Details
Main Authors: Ana Ivette Jater Ruiz, Francisco Primero Primero, Roberto Alejo Eleuterio, Francisco Javier Illescas Martínez, Federico Del Razo López, Everardo Granda
Format: Article
Language:English
Published: Universidad De La Salle Bajío 2025-07-01
Series:Nova Scientia
Subjects:
Water quality
Physicochemical parameters
Dissolved oxygen
Artificial Neural Networks
Deep Learning
Online Access:https://novascientia.lasallebajio.edu.mx/ojs/index.php/novascientia/article/view/3651
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https://novascientia.lasallebajio.edu.mx/ojs/index.php/novascientia/article/view/3651

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