Groundwater qualitative prediction using artificial neural networks and support vector machine model case Study: Sirjan plain
Groundwater resources are one considered as one of the most common and important resources of drinking, agriculture and industry water. Due to the lowering of groundwater levels and its volatility, groundwater quality is of utmost importance. The aim of this study is to identify the predictive abili...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Action for Sustainable Efficacious Development and Awareness
2016-06-01
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| Series: | Environment Conservation Journal |
| Subjects: | |
| Online Access: | https://journal.environcj.in/index.php/ecj/article/view/346 |