منابع مورد استفاده
ستاری م ت و نهرین ف، 1392. پیشبینی مقادیر حداکثر بارش روزانه با استفاده از سیستمهای هوشمند و مقایسه آن با مدل درختی M5، مطالعه موردی ایستگاههای اهر و جلفا. فصلنامه علمی پژوهشی مهندسی آبیاری و آب. سال 4، شماره 14. صفحههای 83 تا 98.
علیخانزاده ا، 1392. داده کاوی (Data mining) . نشر علوم رایانه، چاپ دوم، ساری، ایران.
Basak D, Pal S and Patranabis DC, 2007. Support vector regression. Neural Information Processing 11: 203-225.
Bralts VF, Kelly SF, Shayya WH and Segerlind LJ, 1993. Finite element analysis of microirrigation hydraulics using a virtual emitter system. Transactions of the American Society of Agricultural Engineers 36(3): 717-725.
Buzzelli D, 2008. Calculating friction in one step.
Machine Design 80(12): 54–55.
Colebrook CF and White CM, 1937. Experiments with fluid- friction in roughened pipes. Proceedings of the Royal Society of London 161: 367-381.
Eck B, 1973. Technische Stromungslehre. Springer, New York.
Finnemore EJ and Franzini JB, 2002. Fluid Mechanics with Engineering Applications. Mc- Graw-Hill.
Gerrish PJ, Bralts VF and Shayya WH, 1996a. An improved analysis of microirrigation hydraulics using a virtual emitter system. Transactions of the American Society of Agricultural Engineers 39(4): 1403-1410.
Gerrish PJ, Shayya WH and Bralts VF, 1996b. An improved method for incorporating pipe components into the analysis of hydraulic networks. Transactions of the American Society of Agricultural Engineers 39(4): 1337-1343.
Kisi O, Shiri J and Nikoofar B, 2012. Forecasting daily lake levels using artificial intelligence approaches. Computers & Geosciences 41: 169-180.
Koza JR, 1992. Genetic Programming, On the Programming of Computers by Means of Natural Selection. MIT Press, Cambridge, MA, ISBN 0-262-11170-5.
Lahiri SK and Ghanta KC, 2009. Support vector regression with parameter tuning assisted by differential evolution technique: Study on pressure drop of slurry flow in pipeline.
Korean Journal of Chemical Engineering 26(5): 1175-1185.
Liu WC and Chen WB, 2012. Prediction of water temperature in a subtropical subalpine lake using an artificial neural network and three-dimensional circulation models. Computers &Geosciences 45: 13-25
Londhe SN and Dixit PR, 2011. Forecasting stream flow using model trees. International Journal of Earth Sciences and Engineering 4(6): 282-285.
Pal M and Deswal S, 2009. M5 model tree based modelling of reference evapotranspiration. Hydrological Processes 23(10): 1437-1443.
Quinlan JR, 1992. Learning with continuous classes. In: Proc. AI’92 (Fifth Australian Joint Conference on Artificial Intelligence 343-348. World Scientific, Singapore.
Rao AR and Kumar B, 2007. Friction factor for turbulent pipe flow. Division of Mechanical Science, Civil Engineering. Indian Institute of Science, Bangalore, India. ID Code 9587.
Romeo E, Royo C and Monzon A, 2002. Improved explicit equation for estimation of the friction factor in rough and smooth pipes.
Chemical Engineering Journal 86(3): 369-374.
Samadianfard S, Delirhasannia R, Kisi O and Agirre-Basurko E, 2013. Comparative analysis of ozone level prediction models using gene expression programming and multiple linear regression. GEOFIZIKA 30: 43-74.
Samadianfard S, Sadraddini AA, Nazemi AH, Provenzano G and Kisi O, 2012. Estimating soil wetting patterns for drip irrigation using genetic programming. Spanish Journal of Agricultural Research 10(4): 1155-1166.
Sattari MT, Pal M, Apaydin H and Ozturk F, 2013. M5 Model Tree application in daily river flow forecasting in Sohu Stream, Turkey. Water Resources 40(3): 233-242.
Shirzad A, Tabesh M and Farmani R, 2014. A comparison between performance of support vector regression and artificial neural network in prediction of pipe burst rate in water distribution networks.
KSCE Journal of Civil Engineering 18(4): 941-948.
Sonnad JR and Goudar CT, 2006. Turbulent flow friction factor calculation using a mathematically exact alternative to the Colebrook–White equation.
Journal of Hydraulic Engineering ASCE 132(8): 863-867.
Vapnik VN, 1995. The Nature of Statistical Learning Theory, New York: Springer-Verlag.
Vapnik VN, 1998. Statistical Learning Theory, Wiley, New York.
Wood DJ, 1966. An explicit friction factor relationship.
Civil Engineering 36(12): 60–61.
Yıldırım G, 2009. Computer-based analysis of explicit approximations to the implicit Colebrook–White equation in turbulent flow friction factor calculation.
Advances in Engineering Software 40(11): 1183-1190.
Zigrang DJ and Sylvester ND, 1982. Explicit approximations to the solution of Colebrook friction factor equation. AIChE Journal 28(3): 514-515.
)