Hybrid model of support vector regression and fruitfly optimization algorithm for predicting ski-jump spillway scour geometry

Author:

Sun Xinpo1,Bi Yuzhang2,Karami Hojat3,Naini Shayan3,Band Shahab S.45,Mosavi Amir678ORCID

Affiliation:

1. College of Civil Engineering, Sichuan University of Science & Engineering, Zigong, People’s Republic of China

2. Bizhao Geotechnical Technology (Nanjing) Co., Ltd, Nanjing, People’s Republic of China

3. Department of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering, Semnan University, Semnan, Iran

4. Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam

5. Future Technology Research Center, College of Future, National Yunlin University of Science and Technology, Douliou, Yunlin 64002, Taiwan, ROC

6. Faculty of Civil Engineering, Technische Universität Dresden, Dresden, Germany

7. John von Neumann Faculty of Informatics, Obuda University, Budapest, Hungary

8. School of Economics and Business, Norwegian University of Life Sciences, Ås, Norway

Funder

National Nature Science Foundation of China

Key Projects of Science and Technology Department of Sichuan Province

Zigong Science and Technology Bureau Project

Talent Introduction Project Fund of Sichuan University of Science & Engineering

Sichuan Province University key Laboratory of bridge non-destruction detecting and Engineering Computing

Publisher

Informa UK Limited

Subject

Modeling and Simulation,General Computer Science

Reference38 articles.

1. Asadi Saryazdi, M. H. (1997). Impact of radius of simple flip bucket on scour hole depth downstream of spillways [M.Sc. thesis]. Tarbiat Modarres University, Iran.

2. Alternative neural networks to estimate the scour below spillways

3. ANFIS-Based Approach for Predicting the Scour Depth at Culvert Outlets

4. Genetic Programming to Predict Ski-Jump Bucket Spill-Way Scour

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