Prediction of hydraulic resistance coefficient using an ensemble neural network algorithm
This study presents the development and testing of a computational algorithm based on ensemble learning of artificial neural networks for predicting the empirical hydraulic resistance coefficient known as the Chézy roughness coefficient in open channels. The input data for the model include hydrolog...
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| Date: | 2025 |
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| Main Authors: | , |
| Format: | Article |
| Language: | Ukrainian |
| Published: |
Kyiv National University of Construction and Architecture
2025
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| Subjects: | |
| Online Access: | https://es-journal.in.ua/article/view/351693 |
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| Journal Title: | Environmental safety and natural resources |