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Volume 9, Issue 17 (9-2013)                   Marine Engineering 2013, 9(17): 27-36 | Back to browse issues page

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Kamranzad B, jabbari E, Samadi M. Assessment of soft computing models to estimate wave heights in Anzali port. Marine Engineering 2013; 9 (17) :27-36
URL: http://marine-eng.ir/article-1-248-en.html
Assessment of soft computing models to estimate wave heights in Anzali port
Bahareh Kamranzad1 , Ebrahim Jabbari * 2, Mehrshad Samadi2
1- Iranian National Institute for Oceanography and Atmospheric Science
2- Iran University of Science and Technology
Abstract:   (13689 Views)
Wind waves are one of the important, fundamental and interesting subjects in port and coastal engineering. Thus, within years, different methods such as experimental methods, numerical modeling and soft computing methods have been employed to estimate the wave parameters. In this study, waves height in Anzali port is predicted using soft computing models such as multivariate adaptive regression splines (MARS), regression trees (CART), artificial neural networks (ANNs) and M5' model tree. Among the features of MARS, CART and M5' Models and compared to artificial neural networks, are presentation of regression equations and mathematical relationships which could easily be used to estimate the time series of wave height. The obtained results showed competitive accuracy of regression techniques in estimation of waves height compared to the artificial neural networks.
Keywords: Waves, Multivariate adaptive regression splines, Regression trees, Artificial neural networks, M5\' model tree.
Full-Text [PDF 618 kb]   (3110 Downloads)    
Type of Study: Research Paper | Subject: Environmental Study
Received: 2013/05/18 | Accepted: 2013/11/5
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International Journal of Maritime Technology is licensed under a

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