Water quality prediction using machine learning models based on grid search method

Water quality is very dominant for humans, animals, plants, industries, and the environment. In the last decades, the quality of water has been impacted by contamination and pollution. In this paper, the challenge is to anticipate Water Quality Index (WQI) and Water Quality Classification (WQC), suc...

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Veröffentlicht in:	Multimedia tools and applications Jg. 83; H. 12; S. 35307 - 35334
Hauptverfasser:	Shams, Mahmoud Y., Elshewey, Ahmed M., El-kenawy, El-Sayed M., Ibrahim, Abdelhameed, Talaat, Fatma M., Tarek, Zahraa
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.04.2024 Springer Nature B.V
Schlagworte:	Accuracy Classification Computation Computer Communication Networks Computer Science Correlation coefficients Data Structures and Information Theory Decision trees Errors Machine learning Multilayer perceptrons Multilayers Multimedia Information Systems Parameters Regression models Search methods Special Purpose and Application-Based Systems Tuning Water quality Grid search Water quality classification Machine learning models Water quality index Water quality
ISSN:	1573-7721, 1380-7501, 1573-7721
Online-Zugang:	Volltext
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