Volume : IV, Issue : XI, November - 2014

MODELLING COD AND DO CONCENTRATION BY USING ADAPTIVE NEURO–FUZZY INFERENCE SYSTEM (ANFIS)

Jayesh S. Patel, Dr. S. S. Singh

Abstract :

Dissolved oxygen (DO) & COD 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 (Adaptive Neuro–Fuzzy Inference System) in water quality DO & COD 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 (R2) and Discrepancy Ratio (D) are used to evaluate performance of the ANFIS models in forecasting DO & COD. ANFIS model is used for the estimation of DO & COD concentration.

Keywords :

Article: Download PDF   DOI : 10.36106/ijar  

Cite This Article:

Jayesh S. Patel, Dr. S. S. Singh Modelling COD And DO Concentration By Using Adaptive Neuro-Fuzzy Inference System (ANFIS) Indian Journal of Applied Research, Vol.4, Issue : 11 November 2014

Number of Downloads : 666

References :