___

• More, A., Deo, M.C., “Forecasting Wind with
• Neural Networks”, Marines Structures, Cilt 16,
• No 1, 35-49, 2003.
• Mahjoobi, M., Mosabbeb, E.A., “Prediction of
• Significant Wave Height using Regressive
• Support Vector Machines”, Ocean Engineering,
• Cilt 36, No 5, 339-347, 2009.
• Özger, M., Şen, Z., “Prediction of Wave
• Parameters by using Fuzzy Logic Approach”,
• Ocean Engineering, Cilt 34, No 3-4, 460-469,
• -
• Günaydın, K., “The Estimation of Monthly Mean
• Significant Wave Heights by using Artificial
• Neural Network and Regression Methods”, Ocean Engineering, Cilt 35, No 14-15, 1406-
• , 2008.
• Hasselmann, K., Barnett, T.P., Bouws, E.,
• Carlson, H., Cartwright, D.E., Enke, K., Weing,
• J.A., Gienapp, H., Hasselmann, D.E.,
• Krusemann, P., Meerburg, A., Muller, P., Olbers,
• K.J., Richter, K., Sell, W., Walden, W.H.,
• “Measurements of Wind-Wave Growth and Swell
• Decay During The Joint North Sea Wave Project
• (JONSWAP)”, Deutsche Hydrograph, Zeit,
• Erganzung-self Reihe, Cilt 12, No A 8, 1973.
• Kazeminezhad, M.H., Etemad-Shahidi, A.,
• Mousavi, S.J., “Application of Fuzzy Inference
• System in The Prediction of Wave Parameters”,
• Ocean Engineering, Cilt 32, No 14-15, 1709-
• , 2005.
• Mahjoobi, J., Etemad-Shahidi, A.,Kazeminezhad,
• M.H., “Hindcasting of Wave Parameters using
• Different Soft Computing Methods”, Applied
• Ocean Engineering, Cilt 30, No 1, 28-36, 2008.
• Browne, M., Castelle, B., Strauss, D., Tomlinson,
• R., Blumenstein, M., Lane, C., “Near-shore Swell
• Estimation from A Global Wind-wave Model:
• Spectral Process, Linear, and Artificial Neural
• Network Models”, Coastal Engineering, Cilt 54,
• No 5, 445-460, 2007.
• Agrawal, J.D., Deo, M.C., “On-line Wave
• Prediction”, Marine Structures, Cilt 15, No 1,
• -74, 2002.
• Deo, M.C., Jha, A., Chaphekar, A.S., Ravikant,
• K., “Neural Networks for Wave Forecasting”,
• Ocean Engineering, Cilt 28, No 7, 889-898,
• -
• Makarynskyy, O., Pires-Silva, A.A., Makarynska,
• D., Ventura-Soares, C., “Artificial Neural
• Networks in Wave Predictions at the West Coast
• of Portugal”, Computer and Geosciences, Cilt
• , No 4, 415-424, 2005.
• Tsai, C.P., Lin, C., Shen, J.N., “Neural Network
• for Wave Forecasting among Multi-stations”,
• Ocean Engineering, Cilt 29, No 13, 1683-1695,
• -
• Deo, M.C., Naidu, C.S., “Real Time Wave
• Forecasting using Neural Networks”, Ocean
• Engineering, Cilt 26, No 3, 191-203, 1999.
• Zamani, A., Solomatine, D., Azimian, A.,
• Heemink, A., “Learning from Data for Windwave
• Forecasting”, Ocean Engineering, Cilt 35,
• No 10, 953-962, 2008.
• Altunkaynak, Z., Özger, M., “Temporal
• Significant Wave Height Estimation from Wind
• Speed by Perceptron Kalman Filtering”, Ocean
• Engineering, Cilt 31, No 10, 1245-1255, 2004.
• Balas, C.E., Koç, L., Balas, L., “Predictions of
• Missing Wave Data by Recurrent Neuronets”,
• Journal of Waterway, Port, Coastal and
• Ocean Engineering, Cilt 130, No 5, 256-265,
• -
• Nayak, P.C., Sudheer, K.P., “Fuzzy Model
• Identification Based on Cluster Estimation for
• Reservoir Inflow Forecasting”, Hydrological
• Processes, Cilt 22, No X, 827-841, 2008.
• Google maps, Filyos deniz yöresi,
• http://maps.google.com/, 2009.
• Özçalık, H.R., Uygur, A.F., “Dinamik
• Sistemlerin Uyumlu Sinirsel-Bulanık Ağ
• Yapısına Dayalı Etkin Modellenmesi”, KSÜ Fen
• ve Mühendislik Dergisi, Cilt 6, No 1, 36-46,
• -
• Tsoukalas, L.H., Uhrig, R.E., Fuzzy and Neural
• Approaches in Engineering, John Wiley &
• Sons, New York, A.B.D., 1996.
• 21. Mandal, S., Prabaharan, N., “Ocean Wave
• Forecasting using Recurrent Neural Networks”,
• Ocean Engineering, Cilt 33, No 10, 1401-1410,
• -