Modeling the infiltration rate of wastewater infiltration basins considering water quality parameters using different artificial neural network techniques
Predicting the infiltration rate (IR) of treated wastewater (TWW) is essential in controlling clogging problems. Most�researchers that�predict the IR using neural network models considered the characteristics parameters of soil�without considering �those of TWW. Therefore, this study aims to develop...
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| Main Authors: | , , , , , , , |
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| Other Authors: | |
| Format: | Article |
| Published: |
Taylor and Francis Ltd.
2023
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| Institution: | Universiti Tenaga Nasional |