Machine Learning Model for River Discharge Forecast: A Case Study of the Ottawa River in Canada
River discharge is an essential input to hydrosystem projects. This paper aimed to modify the group method of data handling (GMDH) to create a new artificial intelligent forecast model (abbreviated as MGMDH) for predicting discharges at river cross-sections (CSs). The basic idea was to optimise the...
| Hlavní autoři: | , |
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| Médium: | Článek |
| Jazyk: | English |
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MDPI AG
2024-09-01
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| Edice: | Hydrology |
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| On-line přístup: | https://www.mdpi.com/2306-5338/11/9/151 |