ANFIS and ANN models for the estimation of wind and wave-induced current velocities at Joeutsu-Ogata coast

In this study, the adaptive network-based fuzzy inference system (ANFIS) and artificial neural network (ANN) were employed to estimate the wind- and wave-induced coastal current velocities. The collected data at the Joeutsu-Ogata coast of the Japan Sea were used to develop the models. In the models,...

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Bibliographic Details
Published in:Journal of hydroinformatics 2016-03, Vol.18 (2), p.371-391
Main Authors: Zanganeh, Morteza, Yeganeh-Bakhtiary, Abbas, Yamashita, Takao
Format: Article
Language:English
Subjects:
Adaptive systems
Artificial neural networks
Coastal currents
Coasts
Drought
Evaluation
Fuzzy logic
Fuzzy sets
Fuzzy systems
Genetic algorithms
Hydrology
Marine
Mathematical models
Neural networks
Ocean engineering
Offshore
Rain
Regression analysis
Significant wave height
Significant waves
Stream flow
Velocity
Water depth
Wave height
Wave period
Wind direction
Wind effects
Wind power generation
Wind speed
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Summary:In this study, the adaptive network-based fuzzy inference system (ANFIS) and artificial neural network (ANN) were employed to estimate the wind- and wave-induced coastal current velocities. The collected data at the Joeutsu-Ogata coast of the Japan Sea were used to develop the models. In the models, significant wave height, wave period, wind direction, water depth, incident wave angle, and wind speed were considered as the input variables; and longshore and cross-shore current velocities as the output variables. The comparison of the models showed that the ANN model outperforms the ANFIS model. In addition, evaluation of the models versus the multiple linear regression and multiple nonlinear regression with power functions models indicated their acceptable accuracy. A sensitivity test proved the stronger effects of wind speed and wind direction on longshore current velocities. In addition, this test showed great effects of significant wave height on cross-shore currents' velocities. It was concluded that the angle of incident wave, water depth, and significant wave period had weaker influences on the velocity of coastal currents.
ISSN:1464-7141
1465-1734
DOI:10.2166/hydro.2015.099