:: Volume 15, Issue 52 (1-2016) ::
جغرافیایی 2016, 15(52): 1-15 Back to browse issues page
ارزیابی قابل‍یت مدل‌های هوشمند در تخمین جریان رودخانه مردق چای مراغه
Abstract:   (5374 Views)

 Alvisi, S., Mascellani, G., Franchini, M., Bardossy, A., (2005), "Water level forecasting through fuzzy logic and artificial neural network approaches", J.Hydrol system science, 2: 1107-1145.

 Baareh, AKM., Sheta, AF., Khnaifes, KA., (2006), "Forecasting river flow in the USA: A comparison between auto- regression and neural network non-parametric models", J Comput Sci, 2(10): 775-780.

 Firat, M., (2007), "Artificial Intelligence Techniques for river flow forecasting in the seyhan river catchment, Turkey", J Hydrol Earth Syst Sci, 4: 1369-1406.

 Jang, J.S.R., (1993), "ANFIS: adaptive network based fuzzy inference systems, IEEE Transactions on Systems", Man and Cybernetics, 23 (3): 665–685

 Kisi, O., (2006), "Daily pan evaporation modeling using a neuro-fuzzy computing technique", Journal of Hydrology, 329: 636–646.

 Kisi, O., (2005), "Suspended sediment estimation using neuro-fuzzy and neural network approaches", Hydrol Science Journal, 50 (4): 683–696.

 Kisi, O., "2004. River flow modeling using artificial neural networks", J. Hydrol. Eng, ASCE, 9 (1): 60– 63.

 Keskin, M.E., Terzi, O., Taylan, D., (2004), "Fuzzy logic model approaches to daily pan evaporation estimation in western Turkey", Hydrol. Sci. J, 49(6): 1001-1010-  Khu, ST., Liong, SY., Babovic, V., Madsen, H., Muttil, N., (2001), "Genetic programming and its application in real- time runoff forming", J  Am Water Res Assoc, 37(2): 439-451.

Liong, SY., Gautam, TR., Khu, ST., Babovic, V., Keijzer, M., Muttil, N., (2002), "Genetic programming: A new paradigm in rainfall runoff modeling", J Am Water Res Assoc, 38(3): 705-718.

Nayak, P.C., Sudheer, K.P., Rangan, D.M., Ramasastri, K.S., (2004), "A neuro-fuzzy computing technique for modeling hydrological time series", Journal of Hydrology, 291 (1–2): 52–66.

Sette, S., Boullart, L., (2001),"Genetic programming: principles and applications". Engineering Applications of Artificial Intelligence, 14: 727–736.

Full-Text [PDF 966 kb]   (14 Downloads)    
Type of Study: Research | Subject: Special
Received: 2016/01/13 | Accepted: 2016/01/13 | Published: 2016/01/13


XML   Persian Abstract   Print



Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 15, Issue 52 (1-2016) Back to browse issues page