Evaluation of neuro fuzzy systems performance for runoff forecast (Case study: Allah-Jokanak basin)

الموضوعات :

علی شهبازی ¹ (سازمان آب و برق خوزستان)

تاريخ الإرسال : 27 السبت , شعبان, 1434 تاريخ التأكيد : 21 الأحد , محرم, 1435 تاريخ الإصدار : 28 الأحد , محرم, 1435

الکلمات المفتاحية: منطق فازی, مدلهای هیدرولوژی, سیستمهای فازی عصبی,

المصادر:

Dechmi, N., Benkaci, T. and Issolah A. (2003), A monthly stream flows modeling using conceptual models and neural fuzzy system, Rev. Sci. Eau16(4), 16 (4), pp: 407-424.
Jacquinf A.P. and Shamsedin A.Y. (2006), Development of rainfall runoff models using takagi-sugeno fuzzy inference system, Journal of Hydrology, 329(1-2) , pp: 154-173.
Jang JSR. (1994). ANFIS: adaptive-network-based fuzzy inference system, IEEE Trans System, Man, Cybernet, 23(3), pp:665–85.
Jang, J.-S. R. (1991). Fuzzy Modeling Using Generalized Neural Networks and Kalman Filter Algorithm, Proc. of the Ninth National Conf. on Artificial Intelligence (AAAI-91), pp: 762-767.
Lekkas D.F. and Maxey R.T. (2004). Wheather H.S., Intercompartion of forecasting methods flood warning in the river cam catchment, Global Nest, 5, (2), pp: 89-97.
Russell, SO. and Campbell, P.F. (1996). Reservoir operating rules with fuzzy programming .J Water Resource Plan Manage,122 (3), pp:165–70.
Zadeh, L.A. (1965). Fuzzy sets, Information and Control, 8 (1), pp: 338-353.