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2. زمردیان، م. و م. شجاعیان. 1383. تاثیرهندسه کانال تقرب بر قدرت چرخش گرداب و ضریب آبدهی آبگیرقائم. مجله علوم کشاورزی ایران، جلد 35، شماره 3 ، ص 678-669.
3. Constantinescu, G.S. and V.C. Patel. 2000. “Role of turbulence model in prediction of pump- bay vortices.” J. Hydraul. Eng., 126(5), 387–391.
4. Hastie, T., R. Tibshirani and J. Friedman. 2008. The Elements of Statistical Lerning. Second edition, Springer series, California.
5. Hecker, G.E. 1981. “Model-Prototype Comparison of Free Surface Vortices.” J. Hydraul. Eng., 107(10), 1243–1259.
6. Knauss, J. 1987. “Swirling Flow Problems at intakes”, IAHR Hydraulic structure Manual No 1, A.A. Balkema, Rotterdam, The Netherlands.
7. Rindels, A.J. and J.S. Gulliver. 1983. “An experimental study of critical submergence to avoid free-surface vortices at vertical intakes.” Project Rep. No. 224, Saint Anthony Falls Hydraulic Laboratory, Univ. of Minnesota, Minneapolis.
8. Sharif, M. and D. Burn. 2007. ImprovedK-Nearest Neighbor Weather Generating Model. Journal of Hydrologic Engineering, 137 (6), 42–51.
9. Travis, Q.B. and L.W. Mays. 2011. “Prediction of Intake Vortex Risk.” J. Hydraul. Eng., 126(5), 701–705.
10. Vermeyen, T.B. 1999. “Glen Canyon Dam multi-level intake structure hydraulic model study.” Rep. R-99-02 , U.S. Dept. of the Interior, Bureau of Reclamation, Water Resources Research Laboratory, Denver.
11. Witten, I.H. and E. Frank. 2005. “Data mining: Practical machine learn ing tools with java implementations, 2nd Ed., Morgan Kaufmann, San Francisco.
12. Xindung, W. and V. Kumar. 2009. Top Ten Algorithm in Data Mining. First edition, Taylor & Francis Group, USA.