Hybrid least squares support vector machine for water level forecasting
Previous studies have highlighted the significant role of historical water level data in flood forecasting. In this study, we compare two standalone models, Support Vector Machine (SVM) and Least Squares Support Vector Machine (LSSVM), with hybrid models that integrate Ensemble Empirical Mode Decomp...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Lviv Polytechnic National University
2025
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| Online Access: | http://psasir.upm.edu.my/id/eprint/121389/1/121389.pdf http://psasir.upm.edu.my/id/eprint/121389/ https://science.lpnu.ua/mmc/all-volumes-and-issues/volume-12-number-2-2025/hybrid-least-squares-support-vector-machine-water |
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