Forecasting of Wind-Wave Height by Using Adaptive Neuro-Fuzzy Inference System and Decision Tree

Forecasting of Wind-Wave Height by Using Adaptive Neuro-Fuzzy Inference System and Decision Tree

Wind-induced waves are considered to be the most important waves in the sea due to their high energy and frequency. Among the characteristics of the waves, height is one of the most important parameters that are used in most equations related to marine engineering designs. Since the application of s...

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Bibliographic Details
Main Authors: Lyaghat Bozorgzadeh, Morteza Bakhtiari, Nima Shani Karam Zadeh, Mohammad Esmaeeldoust
Format: Article
Language:English
Published: Pouyan Press 2019-07-01
Series:Journal of Soft Computing in Civil Engineering
Subjects:
wind-induced waves
energy
significant wave height
adaptive neuro-fuzzy inference system
decision tree
bushehr port
mean square error
Online Access:http://www.jsoftcivil.com/article_95949_93a2cc7292423b7aba74f857aef4ef0c.pdf

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