Modelling Bod Concentration by Using Adaptive Neuro-fuzzy Inference System
نویسنده
چکیده
BOD is a parameter frequently used to evaluate the water quality on different rivers. The aim of the present study is to investigate applicability of artificial intelligence techniques such as ANFIS (Adapti ve Neuro-Fuzzy Inference System) in water quality BOD prediction for the case study, Mahi river at Khanpur in Thasara Taluka of Kheda District in Gujarat State, India. The proposed technique combines the learning ability of neural network with the transparent linguistic representation of fuzzy system. ANFIS models with various input structures and membership functions are constructed, trained and tested to evaluate efficiency of the models. Statistical indices such as Root Mean Square Error (RMSE), Correlation Coefficient (R), Coefficient of Determination (R) and Discrepancy Ratio (D) are used to evaluate performance of the ANFIS models in forecasting BOD. ANFIS model is used for the estimation of BOD concentration. Keywords— Adaptive Neuro-Fuzzy Inference System, BioChemical Oxygen Demand(BOD).
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