82
Views
15
CrossRef citations to date
0
Altmetric
Original Articles

Neural networks- and neuro-fuzzy-based determination of influential parameters on energy dissipation over stepped spillways under nappe flow regime

, , &
Pages 57-62 | Received 13 Jul 2016, Accepted 08 Sep 2016, Published online: 27 Sep 2016

References

  • Baylar, A., Bagatur, T., and Emiroglu, M.E. (2007). “Aeration efficiency with nappe flow over stepped cascades.” Proc. Inst. Civ. Eng. Water Manage., (WM1), 160(1), 43–50.10.1680/wama.2007.160.1.43
  • Chanson, H. (1994). “Comparison of energy dissipation between nappe and skimming flow regimes on stepped chutes discussion.” J. Hydraul. Res. IAHR, 32(2), 213–218.10.1080/00221686.1994.10750036
  • Chanson, H. (2001). The hydraulics of stepped chutes and spillways, Balkema, Lisse.
  • Chanson, H., and Gonzalez, C.A. (2005). “Physical modeling and scale effects of air-water flows on stepped spillways.” J. Zhejiang Univ. SCIENCE, 6A(3), 243–250.10.1631/jzus.2005.A0243
  • Cheng, C.T., Chau, K.W., Sun, Y., and Lin, J. (2005). “Long-term prediction of discharges in Manwan Reservoir using artificial neural network models.” Lect. Notes Comput. Sci., 3498, 1040–1045.10.1007/b136479
  • Christodoulou, G.C. (1993). “Energy dissipation on stepped spillway.” J. Hydraul. Eng. ASCE, 119(5), 644–650.10.1061/(ASCE)0733-9429(1993)119:5(644)
  • Hanbay, D., Baylar, A., and Ozpolat, E. (2008). “Predicting flow conditions over stepped chutes based on ANFIS.” J. Soft Comput., 13, 701–707.
  • Haykin, S. (1998). Neural networks: a comprehensive foundation, Prentice Hall, New Jersey.
  • Haykin, S., and Cybenko, G. (1999). Approximation by superposition of a sigmoidal function neural networks (2nd ed), Englewood Cliffs. Natl. J. Prentice Hall Math. Control Signals Sys., (2): 303–314.
  • Jang, J.S.R., and Sun, C.T. (1995). “Neuro-fuzzy modelling and control.” Proc. of IEEE, 83(3), 378–406.10.1109/5.364486
  • Jang, J.S.R., Sun, C.T., and Mizutani, E. (1997). Neurofuzzy and soft computing: a computational approach to learning and machine intelligence, Prentice-Hall, New Jersey.
  • Kavianpour, M.R., and Masoumi, H.R. (2008). “New approach for estimating of energy dissipation over stepped spillways.” Int. J. Civ. Eng., 6(3), 230–237.
  • Kisi, O., Emiroglu, M.E., and Baylar, A. (2008). “Flow regime prediction in stepped channels using neural computing technique.” Int. J. Sci. Technol., 3(1), 109–121.
  • Legates, D.R., and McCabe, G.J. (1999). “Evaluating the use of goodness-of-fit measures in hydrologic and hydroclimatic validation.” J. Water Resour. Res., 35(1), 233–241.10.1029/1998WR900018
  • Mamdani, E.H., and Assilian, S. (1975). “An experiment in linguist synthesiswith fuzzy logic controller.” Int. J. Man-Mach. Stud., 7, 1–13.10.1016/S0020-7373(75)80002-2
  • Najafzadeh, M., and Azamathulla, H.Md. (2013). “Neuro-fuzzy GMDH systems to predict the scour pile groups due to waves.” J. Comput. Civ. Eng.-ASCE, 29(5), 04014068.
  • Najafzadeh, M., and Barani, G.A. (2014). “Experimental study of local scour depth around vertical pier in cohesive soils.” Sci. Iran. Trans. A, 21(2), 241–250.
  • Najafzadeh, M., Barani, G.A., and Azamathulla, H.Md. (2014). “Prediction of pipeline scour depth in clear-water and live-bed conditions using group method of data handling.” Neural Comput. Appl., 24(3), 629–635.10.1007/s00521-012-1258-x
  • Najafzadeh, M. (2015a). “Neuro-fuzzy GMDH system based particle swarm optimization for prediction of scour depth at downstream of grade control structures.” Eng. Sci. Technol., 18(1), 42–51.
  • Najafzadeh, M., (2015b). “Neurofuzzy-based-GMDH-PSO to predict the scour depth at equilibrium at culvert outlets.” J. Pipeline Syst. Eng. Pract. ASCE, 7(1), 06015001.
  • Najafzadeh, M. (2015c). “Neuro-fuzzy GMDH based evolutionary algorithms to predict the scour pile under clear-water condition.” Ocean Eng., 99, 85–94.10.1016/j.oceaneng.2015.01.014
  • Najafzadeh, M., Barani, G.A., and Hessami-Kermani, M.R. (2014). “GMDH networks to predict scour at downstream of a ski-jump bucket.” Earth Sci. Inf., 7(4), 231–248.10.1007/s12145-013-0140-4
  • Najafzadeh, M., Etemad-Shahidi, A., Lim, S.-Y. (2016). “Prediction of scour depth in long contractions using ANFIS and SVM.” Ocean Eng., 111, 128–135.10.1016/j.oceaneng.2015.10.053
  • Najafzadeh, M., Laucelli, D.B., and Zahiri, A. (2016). “Application of model tree and evolutionary polynomial regression for evaluation of sediment transport in pipes.” Water Eng., KSCE J. Civ. Eng. doi:10.1007/s12205-016-1784-7.
  • Najafzadeh, M., and Lim, S.Y. (2015). “Application of improved neuro-fuzzy GMDH to predict scour downstream of sluice gates.” Earth Sci. Inf., 8(1), 187–196.10.1007/s12145-014-0144-8
  • Najafzadeh, M., and Tafarojnoruz, A. (2016). “Neuro-fuzzy GMDH based particle swarm optimization to predict longitudinal dispersion coefficients in rivers.” Environ. Earth Sci., 75(2), 1–12. doi:10.1007/s12665-015-4877-6.
  • Najafzadeh, M., and Sattar, A.A. (2015). “Neuro-fuzzy GMDH approach to predict longitudinal dispersion in water networks.” Water Resour. Manage., 29(7), 2205–2219.10.1007/s11269-015-0936-8
  • Najafzadeh, M., Rezaie-Balf, M., Rashedi, E. 2016. Prediction of maximum scour depth around piers with debris accumulation using EPR, MT, and GEP models. J. Hyroinf. IWA, in press, 18(5), 867–884.
  • Rajaratnam, N. (1990). “Skimming flow in stepped spillways.” J. Hydraul. Eng. ASCE, 116(4), 587–591.10.1061/(ASCE)0733-9429(1990)116:4(587)
  • Rand, W. (1965). “Flow over a vertical sill in an open channel.” J. Hydraul. Div. ASCE, 91(4), 97–121.
  • Salmasi, F., and Özger, M. (2014). “Neuro-fuzzy approach for estimating energy dissipation in skimming flow over stepped spillways.” Arabian J. Sci. Eng., 39, 6099–6108.10.1007/s13369-014-1240-2
  • Sorensen, R.M. (1985). “Stepped spillway hydraulic model investigation.” J. Hydraul. Eng. ASCE, 111(12), 1461–1472.10.1061/(ASCE)0733-9429(1985)111:12(1461)
  • Takagi, T., and Sugeno, M. (1985). “Fuzzy identification of systems and its application to modeling and control.” IEEE Trans. Syst. Man Cybern. Syst., 15(1), 116–132.10.1109/TSMC.1985.6313399
  • Tsukamoto, Y. (1979). “An approach to fuzzy reasoning method.” Advances in fuzzy set theory and applications, M.M. Gupta, R.K. Ragade, and R. Yager, eds., Amsterdam, North-Holland Publishing Company, 137–149.
  • Young, M.F. (1982). “Feasibility study of a stepped spillway.” Int. Proc., Hydraul. Div. Specialist Conf. ASCE, N.Y., 96–106.
  • Zahiri, A.R., and Dehghani, A.A. (2009). “Flow discharge determination in straight compound channels using ANNs.” World Acad. Sci. Eng. Technol., 58, 12–15.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.