. Azmi, M. and Araghi nejed, Sh. (2011). Development of K-Nearest Neighbor Regression Method in Forecasting River Stream Flow, Journal of Water & Wastewater, 2,108-119. (In Persian)
. Dehgani, A.A., Malek Mohammadi, M. and Hezarjaribi, A. (2010). Estimation of Suspended Sediment Load in Behesht Abad River by Using Artificial Neural Network, Journal of Water and Soil Conservation, 17(1), 159-168. (In Persian)
. Eder, A., Strauss a, P., Krueger b, T. and Quinton b, J.N. (2010). A Comparative calculation of suspended sediment loads with respect to hysteresis effects (in the Petzenkirchen catchment, Austria), Journal of Hydrology, 389, 168-176.
. Falamaki, A., Eskandari, M., Baghlani, A. and Ahmadi, S.A. (2013). Modeling total sediment load in rivers using artificial neural networks, journal of water and soil conservation, 2(3), 13-25. (In Persian)
. Iadanza, C. and Napolitano, F. (2006). Sediment transport time series in the Tiber River, Physics and Chemistry of the Earth, 31, 1212-1227.
. Kakaei Lafdani, E., Moghaddam Nia, A. and Ahmadi, A. (2013). Daily Suspended Sediment Load prediction Using Artificial Neural Networks and Support Vector Machines, Hydrology, 478, 50-62.
. Kao, Sh., Lee, T. and Milliman, J.D. (2005). Calculating highly fluctuated suspended sediment fluxes from mountainous rivers in Taiwan, TAO, 16(3), 653-675.
. Khazaie Poul, A. and Talebi, A. (2013). Investigation of Possibility of Suspended Sediment Prediction Using The Combination of Sediment Rating Curve and Artificial Neural Network (Case Study: Ghatorchai River, Yazdakan Bridge), Quarterly Journal of Environmental Erosion Researches, 2(9), 73-82. (In Persian)
. Kia, E., Emadi, A.R. and Fazlola, R. (2013). Investigation and Evaluation of Artificial Neural Networks in Babolroud River Suspended Load Estimation, Journal of Civil Engineering and Urbanism, 3(4), 183-190.
. Nourani, V. (2014). A Review on Applications of Artificial Intelligence-Based Models to Estimate Suspended Sediment Load, International Journal of Soft Computing and Engineering (IJSCE), 3(6), 121-127.
. Onderka, M., Krein, A. and Wrede, S. (2012). Dynamics of storm-driven suspended sediments in a headwater catchment described by multivariable modeling, Journal of Soils Sediments, 12, 620–635.
. Ozturk, F., Apaydin, H. and Walling, D.E. (2001). Suspended Sediment loads through flood events for stream of sakarya Basin, Turkish Journal of Engineering and Environmental Sciences, 25, 643-650.
. Partal, T. and Cigizoglu, H.K. (2008). Estimation and forecasting of daily suspended sediment data using wavelet neural networks, Journal of Hydrology, 358, 317-331.
. Rajabi, M., Feizollahpour, M. and Roustaie, S. (2015). Using NDE model for estimation of suspended sediment load in comparison with ANFIS and RBF case study: Givi Chay, Geography and Development Iranian Journal, 39(2), 1-16. (In Persian)
. Rastgar, H. and Habibi, M. (2011). Assessment of five sediment estimation methods in the Jegin River in Hormozgan province, Journal of Engineering and watershed management, 3(1),12-20. (In Persian)
. Sattari, MT., Rezazazadeh Joudi, A. and Kusiak, A. (2015). Estimation of water quality parameters with data-driven models, American Water Works Association, 108(4): 232-239.
. Sattari, MT., Rezazadeh Joudi, A., Safdari, F. and Ghahramanzadeh, F. (2016). Performance Evaluation of M5 Tree Model and Support Vector Regression Methods in Suspended Sediment Load Modeling, Journal of Water and Soil Resources Conservation, 6(1), 109-124. (In Persian)
. Shafaie, B. (2011). Sediment hydraulic, Shahid Chamran University, Press. (In Persian)
. Shahrabi, J. (2013). Data mining 2, Tehran, Industrial university of amirkabir, Jahad daneshgahi Press. (In Persian)
. Shahrabi, J., Hejazi, T.H. (2011). Data mining. Tehran, Industrial University of amirkabir, Jahad daneshgahi Press. (In Persian)
. Tabatabaei, M., Solaimani, K., Habibnejad Roshan, M. and Kavian, A. (2014). Estimation of Daily Suspended Sediment Concentration using Artificial Neural Networks and Data Clustering by Self-Organizing Map (Case Study: Sierra Hydrometry Station- Karaj Dam Watershed), Journal of Watershed Management Research, 5(10), 98-116. (In Persian)
. Vali, A., Moayeri, M., Ramsht, M.H. and Movahedinia, N. (2010). Analysis and Comparison of artificial neural networks and regression models in suspended sediment Prediction case study: Eskandari Catchment Area located in Zayanderood Basin, journal of Physical Geography Research Quarterly, 71(1), 21-30. (In Persian)
. Vali, A.A., Ramesht, A., Seif, A. and Ghazavi,R. (2010). An assessment of the Artificial Neural Networks technique to geomorphologic modeling sediment yield (Case study Samandegan river system), Geography and Environmental Planning Journal, 44(4), 19-34. (In Persian)
. Vapnik, V. N. (1995). The nature of statistical learning theory, Newyork: springer-verlag.
. Yang, C.T., Marsooli, R. and Aalami, M.T. (2009). Evaluation of total load sediment transport formulas using ANN, International journal of Sediment Research, 24, 274-286.
. Zhou, Y., Lu, X.X., Huang, Y. and Zhu, Y.M. (2007). Suspended sediment flux modeling with artificial neural network: An example of the Longchuanjiang River in the upper Yangtze catchment, China. Journal of Geomorphology, 84, 111-125.