Sea Water Level Estimation Using Six Different Artificial Neural Networks Training Algorithm

ÇUBUKÇU, Esra Aslı | SANCIOĞLU, Sadrettin | DEMİR, Vahdettin | SEVİMLİ, Mehmet Faik

Water level estimation is important at various time intervals using the records of past time series in water resources engineering and management. For instance, sea level affects groundwater tables in low-lying coastal areas, Also hydrological regimes of some coastal rivers. Therefore, a reliable forecast of sea-level variations is required in coastal engineering and hydrologic studies. In this study, it has been tried to predict the changes in sea level by six different artificial neural networks (ANN’s) training algorithms (Quasi-Newton, Conjugate Gradient, Levenberg-Marquardt, One Step Seca ...Daha fazlası