Comparative analysis of artificial intelligence techniques for the prediction of infiltration process
Knowledge of the infiltration process is beneficial in designing and planning of irrigation networks, soil erosion, hydrologic design, and watershed management. In this study, the infiltration process was analyzed using predictive models of artificial neural network (ANN), multi-linear regression (M...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2021-04-01
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| Series: | Geology, Ecology, and Landscapes |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/24749508.2020.1833641 |