Development of Irrigation Water Quality Index Using Artificial Neural Network
The data-driven Artificial Intelligence (AI) techniques revealed specific relevance for the treatment of nonlinear relations and predicting the behaviour of complex systems, as a promising application in hydrology and water quality problems. The goal of this study is to build a developed model to f...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ain Shams University, Faculty of Women for Arts, Science & Education
2023-12-01
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| Series: | Journal of Scientific Research in Science |
| Subjects: | |
| Online Access: | https://jsrs.journals.ekb.eg/article_331805.html |