Prediction of significant wave height; comparison between nested grid numerical model, and machine learning models of artificial neural networks, extreme learning and support vector machines-Reference-Cited by-同舟云学术

Prediction of significant wave height; comparison between nested grid numerical model, and machine learning models of artificial neural networks, extreme learning and support vector machines

Published:2020-01-01 Issue:1 Volume:14 Page:805-817
ISSN:1994-2060
Container-title:Engineering Applications of Computational Fluid Mechanics
language:en
Short-container-title:Engineering Applications of Computational Fluid Mechanics

Author:

Shamshirband Shahaboddin¹²^ORCID,Mosavi Amir³⁴⁵⁶⁷^ORCID,Rabczuk Timon⁶,Nabipour Narjes⁸,Chau Kwok-wing⁹

Affiliation:

1. Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Vietnam

2. Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam

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

4. Kando Kalman Faculty of Electrical Engineering, Obuda University, Budapest, Hungary

5. Department of Mathematics, J. Selye University, Komarno, Slovakia

6. Institute of Structural Mechanics, Bauhaus-Universität Weimar, Weimar, Germany

7. School of the Built Environment, Oxford Brookes University, Oxford, UK

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

9. Department of Civil and Environmental Engineering, Hong Kong Polytechnic University, Hong Kong, People’s Republic of China

Publisher

Informa UK Limited

Subject

Modeling and Simulation,General Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/19942060.2020.1773932

Reference26 articles.

1. Wavelet-IANN model for predicting flow discharge up to several days and months ahead

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3. Artificial Neural Network Methods for the Solution of Second Order Boundary Value Problems

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5. Long-Term Prediction of Discharges in Manwan Hydropower Using Adaptive-Network-Based Fuzzy Inference Systems Models

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