مدل‌سازی تصفیه فاضلاب لبنی به‌روش انعقاد الکتریکی با استفاده از سامانه استنتاج فازي– عصبي تطبيقي

Borbón B, Oropeza-Guzman MT, Brillas E, Sirés I. Sequential electrochemical treatment of dairy wastewater using aluminum and DSA-type anodes. Environmental Science and Pollution Research 2014;21:8573-84. doi: 10.1007/s11356-014-2787-x

Bensadok K, Benammar S, Lapicque F, Nezzal G. Electrocoagulation of cutting oil emulsions using aluminium plate electrodes. Journal of Hazardous Materials 2008;152: 423-30. doi: 10.1016/j.jhazmat.2007.06.121

Daneshvar N, Oladegaragoze A, Djafarzadeh N. Decolorization of basic dye solutions by electrocoagulation: An investigation of the effect of operational parameters. Journal of Hazardous Materials 2006;129:116-22. doi: 10.1016/j.jhazmat.2005.08.033

Bazrafshan E, Moein H, Kord Mostafapour F, Nakhaie S. Application of electrocoagulation process for dairy wastewater treatment. Journal of Chemistry 2013;2013:1-8. doi: 10.1155/2013/640139

Bazrafshan E, Mostafapour FK, Farzadkia M, Ownagh KA, Mahvi AH. Slaughterhouse wastewater treatment by combined chemical coagulation and electrocoagulation process. PloS One 2012;7:e40108. doi: 10.1371/journal.pone.0040108

Curteanu S, Piuleac CG, Godini K, Azaryan G. Modeling of electrolysis process in wastewater treatment using different types of neural networks. Chemical Engineering Journal 2011;172: 267-76. doi: 10.1016/j.cej.2011.05.104

Gaya MS, Wahab NA, Sam YM, Samsudin SI. ANFIS modelling of carbon and nitrogen removal in domestic wastewater treatment plant. Jurnal Teknologi 2014;67:29-34. doi: 10.11113/jt.v67.2839

Hernández-Ramírez DA, Herrera-López EJ, editors. Artificial neural network modeling of slaughterhouse wastewater removal of COD and TSS by electrocoagulation. In: Advance Trends in Soft Computing. Springer International pub;2014.p.273-80; doi: 10.1007/978-3-319-03674-8_26

Kundu P, Debsarkar A, Mukherjee S. Artificial neural network modeling for biological removal of organic carbon and nitrogen from slaughterhouse wastewater in a sequencing batch reactor. Advances in Artificial Neural Systems 2013;2013:1-15. doi: 10.1155/2013/268064

Tay JH, Zhang X. A fast predicting neural fuzzy model for high-rate anaerobic wastewater treatment systems. Water Research 2000;34:2849-60. doi: 10.1016/S0043-1354(00)00057-9

Association APH. Standard methods for the examination of water and wastewater. American Public Health Association, Washington, DC 1998, 1268.

Jang JSR, Sun CT, editors. Neuro-fuzzy and soft computing: A Computational approach to learning and machine intelligence. United States: Prentice Hall pub;1997. doi: 10.1109/TAC.1997.633847