Prediction of scour caused by 2D horizontal jets using soft computing techniques
This paper presents application of five soft-computing techniques, artificial neural networks, support vector regression, gene expression programming, grouping method of data handling (GMDH) neural network and adaptive-network-based fuzzy inference system, to predict maximum scour hole depth downstr...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2017-12-01
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| Series: | Ain Shams Engineering Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2090447916300193 |
| _version_ | 1818440124709470208 |
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| author | Masoud Karbasi H. Md. Azamathulla |
| author_facet | Masoud Karbasi H. Md. Azamathulla |
| author_sort | Masoud Karbasi |
| collection | DOAJ |
| description | This paper presents application of five soft-computing techniques, artificial neural networks, support vector regression, gene expression programming, grouping method of data handling (GMDH) neural network and adaptive-network-based fuzzy inference system, to predict maximum scour hole depth downstream of a sluice gate. The input parameters affecting the scour depth are the sediment size and its gradation, apron length, sluice gate opening, jet Froude number and the tail water depth. Six non-dimensional parameters were achieved to define a functional relationship between the input and output variables. Published data were used from the experimental researches. The results of soft-computing techniques were compared with empirical and regression based equations. The results obtained from the soft-computing techniques are superior to those of empirical and regression based equations. Comparison of soft-computing techniques showed that accuracy of the ANN model is higher than other models (RMSE = 0.869). A new GEP based equation was proposed. |
| first_indexed | 2024-12-14T18:07:22Z |
| format | Article |
| id | doaj.art-42030714dd9949cd930a378c1f7cc73e |
| institution | Directory Open Access Journal |
| issn | 2090-4479 |
| language | English |
| last_indexed | 2024-12-14T18:07:22Z |
| publishDate | 2017-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ain Shams Engineering Journal |
| spelling | doaj.art-42030714dd9949cd930a378c1f7cc73e2022-12-21T22:52:20ZengElsevierAin Shams Engineering Journal2090-44792017-12-018455957010.1016/j.asej.2016.04.001Prediction of scour caused by 2D horizontal jets using soft computing techniquesMasoud Karbasi0H. Md. Azamathulla1Hydraulic Structures, Water Engineering Dep., Faculty of Agriculture, University of Zanjan, Zanjan, IranCivil Engineering, Faculty of Engineering, University of Tabuk, Tabuk, Saudi ArabiaThis paper presents application of five soft-computing techniques, artificial neural networks, support vector regression, gene expression programming, grouping method of data handling (GMDH) neural network and adaptive-network-based fuzzy inference system, to predict maximum scour hole depth downstream of a sluice gate. The input parameters affecting the scour depth are the sediment size and its gradation, apron length, sluice gate opening, jet Froude number and the tail water depth. Six non-dimensional parameters were achieved to define a functional relationship between the input and output variables. Published data were used from the experimental researches. The results of soft-computing techniques were compared with empirical and regression based equations. The results obtained from the soft-computing techniques are superior to those of empirical and regression based equations. Comparison of soft-computing techniques showed that accuracy of the ANN model is higher than other models (RMSE = 0.869). A new GEP based equation was proposed.http://www.sciencedirect.com/science/article/pii/S20904479163001932D horizontal jetsScour holeSluice gateSoft-computing |
| spellingShingle | Masoud Karbasi H. Md. Azamathulla Prediction of scour caused by 2D horizontal jets using soft computing techniques Ain Shams Engineering Journal 2D horizontal jets Scour hole Sluice gate Soft-computing |
| title | Prediction of scour caused by 2D horizontal jets using soft computing techniques |
| title_full | Prediction of scour caused by 2D horizontal jets using soft computing techniques |
| title_fullStr | Prediction of scour caused by 2D horizontal jets using soft computing techniques |
| title_full_unstemmed | Prediction of scour caused by 2D horizontal jets using soft computing techniques |
| title_short | Prediction of scour caused by 2D horizontal jets using soft computing techniques |
| title_sort | prediction of scour caused by 2d horizontal jets using soft computing techniques |
| topic | 2D horizontal jets Scour hole Sluice gate Soft-computing |
| url | http://www.sciencedirect.com/science/article/pii/S2090447916300193 |
| work_keys_str_mv | AT masoudkarbasi predictionofscourcausedby2dhorizontaljetsusingsoftcomputingtechniques AT hmdazamathulla predictionofscourcausedby2dhorizontaljetsusingsoftcomputingtechniques |