Height prediction of the Wind – Induced Waves using Adaptive – Network –Based Fuzzy Inference System, Decision Tree and Empirical Methods ( Case study: Bushehr Port) Bushehr Port

Liyaghat Bozorgzadeh, Morteza Bakhtiari, Nima ShahniKaramzadeh, Mohammad Esmaeel Doust
2018 Ì'UlÅ«m va muhandisÄ«-i Ä?byÄ?rÄ«  
Derived Information from the predicted waves will be the basis for engineering design and plays an important role in the construction, maintenance and management of coastal and offshore construction projects. The wind-induced-waves due to having high energy and frequency are of great importance in the sea. In this research, the adaptive network based fuzzy inference system was selected to predict the waves' characteristics.. Study About prediction of wave Characteristics is carried out by
more » ... arried out by several researchers. Zarghani et al (2006) studied the characteristics of wind-induced waves at the coast of Khark island They used the SPM model to conduct the survey. The results obtained from the model showed that the highest wave was 3.7 m with rotation period of 6.8 seconds. Taleghani and Amirteimori (2008) used the field data of the Caspian Sea waves measured by a waveguide buoy in an artificial neural network. Finally, the comparison of real data measured by the measurement systems with the results of the neural network is a good match that indicates the accuracy and speed of the method used in the short term. Kamranzad and Etemad Shahidi (2011) studied the prediction of wind-induced waves in Assaluyeh using the SWAN numerical model. The validation results of the model showed that the results of calibration model have a good accuracy. The calculated error indices in validation periods also showed the acceptable accuracy of SWAN modeling. Therefore, the constructed model had the ability to predict wave height and period of time in Assalouyeh. In order to do present research, the Adaptive Nero-Fuzzy Inference System as one of the soft computing methods is used. The study area chosen Bushehr and forecasts for the period December 2008 to 2010 is considered. The results showed that, in prediction height of wave induced by wind, accuracy of the Adaptive Nero-Fuzzy Inference System and decision tree are same and are higher than the empirical methods. The comparison results of prediction from empirical methods showed that amo [...]
doi:10.22055/jise.2018.13668 doaj:c53cb32242b04dce9f2b4fb02f98d43a fatcat:bxmzntayifh3pnhrg7zl6tdace