References

  1. J.M. Montgomery, Water Treatment Principles and Design, John Wiley, 1995.
  2. M. Gholami, B.A. Souraki, A. Pendashteh, M. Bagherian Marzouni, Efficiency evaluation of the membrane/AOPs for paper mill wastewater treatment, Environ. Technol., 38 (2017) 1127–1138.
  3. T.-W. Ha, K.-H. Choo, S.-J. Choi, Effect of chlorine on adsorption/ ultrafiltration treatment for removing natural organic matter in drinking water, J. Colloid Interface Sci., 274 (2004) 587–593.
  4. J. Beard, Coagulation and Flocculation, D.K. Kent, Ed., Water Treatment Plant Operation, Vol. 1, 1983.
  5. L.A. Zadeh, Fuzzy sets, Inf. Control, 8 (1965) 338–353.
  6. L.A. Zadeh, Fuzzy algorithms, Inf. Control, 12 (1968) 94–102.
  7. L.A. Zadeh, Quantitative fuzzy semantics, Inf. Sci., 3 (1971) 159–176.
  8. L.A. Zadeh, Outline of a new approach to the analysis of complex systems and decision processes, IEEE Trans. Syst. Man Cybern., SMC-3 (1973) 28–44.
  9. E.H. Mamdani, S. Assilian, An experiment in linguistic synthesis with a fuzzy logic controller, Int. J. Man Mach. Stud., 7 (1975) 1–13.
  10. A. Daghbandan, M. Akbarizadeh, M. Yaghoobi, Modeling and optimization of poly electrolyte dosage in water treatment process by GMDH Type-NN and MOGA, Int. J. Chemoinform. Chem. Eng., 3 (2013) 94–106.
  11. A. Amirtharajah, C. O’Melia, Coagulation Processes: Destabilization, Mixing, and Flocculation, McGraw-Hill, Inc., 1990.
  12. E.H. Mamdani, Advances in the linguistic synthesis of fuzzy controllers, Int. J. Man Mach. Stud., 8 (1976) 669–678.
  13. V. Leeuwen, Empirical mathematical models and artificial neural networks for the determination of alum doses for treatment of southern Australian surface waters, Aqua, 48 (1999) 115–127.
  14. T. Takagi, M. Sugeno, Fuzzy identification of system and its applications to modeling and control, IEEE Trans. Syst. Man Cybern., SMC-15 (1985) 116–132.
  15. M. Sugeno, G. Kang, Structure identification of fuzzy model, Fuzzy Sets Syst., 28 (1988) 15–33.
  16. J. Foroozesh, A. Khosravani, A. Mohsenzadeh, A. Haghighat Mesbahi, Application of artificial intelligence (AI) in kinetic modeling of methane gas hydrate formation, J. Taiwan Inst. Chem. Eng., 45 (2014) 2258–2264.
  17. H. Citakoglu: Comparison of artificial intelligence techniques via empirical equations for prediction of solar radiation, Comput. Electron. Agric., 118 (2015) 28–37.
  18. M.-T. Puth, M. Neuh€auser, G.D. Ruxton, Effective use of Pearson’s product–moment correlation coefficient, Anim. Behav., 93 (2014) 183–189.
  19. S. Malini, R.S. Moni, Image denoising using multiresolution singular value decomposition transform, Procedia Comput. Sci., 46 (2015) 1708–1715.
  20. L. Wang, R. Langari, J. Yen, Identifying Fuzzy Rule Based Models Using Orthogonal Transformation and Back Propagation, C.T. Leondes, Ed., Fuzzy Theory Systems: Techniques and Application, Vol. 1, Academic Press, 1999.