Modeling Length of Hydraulic Jump on Sloping Rough Bed using Gene Expression Programming
Generally, length of hydraulic jump is one the most important parameters to design stilling basin. In this study, the length of hydraulic jump on sloping rough beds was predicted using Gene Expression Programming (GEP) for the first time. The Monte Carlo simulations were used to examine the ability...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Shahrood University of Technology
2020-11-01
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| Series: | Journal of Artificial Intelligence and Data Mining |
| Subjects: | |
| Online Access: | http://jad.shahroodut.ac.ir/article_1803_b90b880898f5cd93a40ea34bc1a1dbf0.pdf |