بررسی تغییر ارتفاع امواج تحت تاثیر اقلیم با استفاده از شبکه عصبی مصنوعی و تئوری موجک
Subject Areas : Irrigation and Drainageگلرخ منصوری واجاری 1 , ابوالفضل شمسایی 2 , بهرام تقیان 3
1 - گروه عمران- آب، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات تهران، ایران.
2 - گروه مهندسی عمران- آب، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات تهران، ایران.
3 - گروه عمران- آب، دانشگاه آزاد اسلامی، واحد علوم و تحقیقات تهران، ایران.
Keywords:
Abstract :
ابراهیمی،ل و بارانی،غ. (1384). معرفی مدل تلفیقی تبدیل موجکی و شبکه های عصبی برای پیش بینی خشکسالی حوزه های آبخیز سدها. مجموعه مقالات دومین کنفرانس سراسری آبخیزداری مدیریت منابع آب و خاک، دانشگاه کرمان. ص.45-56.
کیا، س. م. (1390). شبکه های عصبی مصنوعی در MATLAB. انتشارات کیان رایانه سبز.
Adamowski, J. (2008). Development of a short-term river flood forecasting method for snowmelt driven floods based on wavelet and cross-wavelet analysis. Journal of Hydrology, 353,pp. 247–266.
Adamowski, J. (2008). River flow forecasting using wavelet and cross-wavelet transform models. Hydrological Processes, 22, pp. 4877–4891.
Cannas, B., Fanni, A., See.and L., Sias, G. (2006). Data preprocessing for river flow forecasting using neural networks: wavelet transforms and data partitioning. Physics and Chemistry of the Earth. 31 (18), pp.1164–1171.
Chini,N., Stansby.P., Leake.J., Wolf.J., Rpberts-Jones.J.and Lowe,J.(2010). The impact of sea level rise and climate change on inshore wave climate: A case study for East Angelia (UK). Coastal Engineering, 57, pp.973-984.
Cutforth, h., Gwoodvin,b., Mcconkey,R.j., smith,D.j and Jefferson,P.G.(1999). Climate change in theplant.sci.plant.sci.79, pp.343-353.
Deo, M.C., Jha, A., Chaphekar, A.S. and Ravikant, K. (2001). Neural network for wave forecasting.Ocean Engineering, 28, pp. 889–898.
Deo, M.C. and Naidu,C.S.(1999). Real time wave forecasting using neural networks. Ocean Engineering 26, pp.191–203.
Etemad-Shahidi, A. and Mahjoobi, J. (2009). Comparison between M5– model tree and neural networks for prediction of significant wave height in Lake Superior. Ocean Engineering 36, pp.1175–1181.
Kazeminezhad, M.H., Etemad-Shahidi, A. and Mousavi, S.J. (2005). Application of fuzzy inference system in the prediction wave parameters. Ocean Engineering 32, pp.1709–1725.
Kamranzad,B., Etemad-Shahidi, A. and Kazeminejad,M.H. (2011). Wave height forecasting inDayyer, the Persian Gulf. Ocean Engineering, 38, pp.248–255.
Liang, S.X., Li, M.C. and Sun, Z.C. (2008). Prediction models for tidal level including strong meteorologic effects using a neural network, Ocean Engineering, 35(7), pp. 666-675.
Makarynskyy. O., Makarynska. D., Kuhn, M. and Featherstone, W.E. (2004). Predicting sea level variations with artificial neural networks at Hillarys Boat Harbour, Western Australia, Estuarine, Coastal and Shelf Science. pp.351–360.
Mark, J., Koetse, P.and Rietveld, g. (2009). The impact of climate change and weather on transport: An overview of empirical findings. Transportation Research, Part D 14, pp. 205–221.
Mesa, O.and Poveda, G. (1993). The Hurst Effect: The scale of fluctuation approach. Water Resources Research, vol.29, No.12, 3995-4002.
Partal, T.and Cigizoglu, H.K. (2008). Estimation and forecasting of daily suspended sediment data using wavelet-neural networks. Journal of Hydrology 358 (3–4), pp. 317–331.
Partal, T.and Kisi, O. (2007). Wavelet and neuro fuzzy conjunction model for precipitation forecasting. Journal of Hydrology 342, 199–212.
Lionello,p., Galati, M.B. and Elvini,E. (2012). Extreme storm surge and wind wave climate scenario simulations at the Venetian littoral. Physics and Chemistry of the Earth, Pages pp.86-92.
Tsai, C.P., Lin, C. and Shen, J.N. (2002). Neural network for wave forecasting among multi- stations.Ocean Engineering 29, pp.1683–1695.
Wang, D.and Ding, J. (2003). Wavelet network model and its application to the prediction of hydrology. Nature and Science 1,pp. 67– 71.
