Performance improvement of machine learning models via wavelet theory in estimating monthly river streamflow
River streamflow is an essential hydrological parameters for optimal water resource management. This study investigates models used to estimate monthly time-series river streamflow data at two hydrological stations in the USA (Heise and Irwin on Snake River, Idaho). Five diverse types of machine lea...
| Published in: | Engineering Applications of Computational Fluid Mechanics |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Taylor and Francis Ltd.
2022
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85138036807&doi=10.1080%2f19942060.2022.2119281&partnerID=40&md5=4c13818f13a95547c9b44d3749ea2639 |