AU - Kamranzad, Bahareh AU - jabbari, Ebrahim AU - Samadi, Mehrshad TI - Assessment of soft computing models to estimate wave heights in Anzali port PT - JOURNAL ARTICLE TA - Marine-Engineering JN - Marine-Engineering VO - 9 VI - 17 IP - 17 4099 - http://marine-eng.ir/article-1-248-en.html 4100 - http://marine-eng.ir/article-1-248-en.pdf SO - Marine-Engineering 17 ABĀ  - 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. CP - IRAN IN - LG - eng PB - Marine-Engineering PG - 27 PT - Research Paper YR - 2013