Comparison of ANFIS and statistical modeling for estimation of chemical oxygen demand parameter in textile effluent

The large volumes of wastewater generated at different stages of textile processing. The wastewater derived from the textile industry can caused serious environmental impact in the neighboring water bodies, because of the presence of toxic chemical residues and enhances the value of chemical oxygen demand (COD) of water. COD is one of the major parameter used to find the quality of wastewater. In this paper prediction of COD from textile effluent according to their physicochemical parameters such as pH, Total Suspended Solids (TSS), Sulphate (SO4), Chloride(Cl2) and Total Dissolved Solids (TDS) have been determined by Adaptive Neuro Fuzzy Inference System (ANFIS) modeling and Statistical modeling. The results compared by calculating Average percentage error, Chi- Squared test and Worst Case Error

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