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فراخوان ارسال مقالات انگلیسی حوزه دریا و فراساحل    www.ijcoe.org   www.ijmt.ir

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
1- Iranian National Institute for Oceanography and Atmospheric Science
2- Iran University of Science and Technology
Abstract:   (11584 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.
Full-Text [PDF 618 kb]   (2144 Downloads)    
Type of Study: Research Paper | Subject: Environmental Study
Received: 2013/05/18 | Accepted: 2013/11/5

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