Forecasting wave parameters with artificial intelligence techniques

It is important accuracy and forecasting of wave parameters (H1/3, H1/10 vb.) in design of coastal structures. Wave height parameter used in the design which determines structure's the degree of importance. In this study, using H1/3, H1/10, Hort, Hmax values and other wave characteristics that were measured at Filyos Sea Region, artificial intelligence techniques (Artficial Neural Networks-ANN, Adaptive Neural Network Based Fuzzy Inference Systems-ANFIS) were developed which forecasts wave height parameters. In estimation of wave height parameters, sub-models were created for each artificial intelligence technique. Commonly used artificial intelligence techniques in academic studies evaluated for that sea region and the most appropriate method is determined for forecasting wave parameters. These methods are compared with each other and evaluated advantages and disadvantages cases. As a result, artificial intelligence techniques were found to be far ahead compared to traditional methods in forecasting wave parameters. Therewithal, modeled wave height parameters compared between and it was determined that parameters gave more accurate results which model and techniques.