Comparative analysis of river flow modelling by using supervised learning technique
The goal of this research is to investigate the efficiency of three supervised learning algorithms for forecasting monthly river flow of the Indus River in Pakistan, spread over 550 square miles or 1800 square kilometres. The algorithms include the Least Square Support Vector Machine (LSSVM),...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2018
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/6974/1/P9860_86c30fe4c3819f7c20bebe82732ee268.pdf http://eprints.uthm.edu.my/6974/ https://doi.org/10.1088/1742-6596/995/1/012045 |
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| Institution: | Universiti Tun Hussein Onn Malaysia |
| Language: | English |