Development of group method of data handling based on genetic algorithm to predict incipient motion in rigid rectangular storm water channel
Sediment transport is a prevalent vital process in uvial and coastal environments, and \incipient motion" is an issue inseparably bound to this topic. This study utilizes a novel hybrid method based on Group Method of Data Handling (GMDH) and Genetic Algorithm (GA) to design GMDH structural...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Sharif University of Technology
2017
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/30006/1/Bong%20Charles%20Hin%20Joo.pdf http://ir.unimas.my/id/eprint/30006/ http://scientiairanica.sharif.edu/article_4083.html |
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| Institution: | Universiti Malaysia Sarawak |
| Language: | English |
| Summary: | Sediment transport is a prevalent vital process in
uvial and coastal environments, and \incipient motion" is an issue inseparably bound to this topic. This
study utilizes a novel hybrid method based on Group Method of Data Handling (GMDH)
and Genetic Algorithm (GA) to design GMDH structural (GMDH-GA). Also, Singular
Value Decomposition (SVD) was utilized to compute the linear coe�cient vectors. In
order to predict the densimetric Froude number (Fr), the ratio of median diameter of
particle size to hydraulic radius (d=R) and the ratio of sediment deposit thickness to
hydraulic radius (ts=R) are utilized as e�ective parameters. Using three di�erent sources of
experimental data and GMDH-GA model, a new equation is proposed to predict incipient
motion. The performance of development equation is compared using GMDH-GA and
traditional equations . The results indicate that the presented equation is more accurate
(RMSE = 0:18 and MAP E = 6:48%) than traditional methods. Also, a sensitivity
analysis is presented to study the performance of each input combination in predicting
incipient motion |
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