Volume : III, Issue : XI, November - 2013

Bod from Plastic Industry � An Anfis Approach

S. Akilandeswari, B. Kavitha

Abstract :

Effluent generated by the industries is one of the sources of pollution. Biochemical Oxygen Demand is one of the major parameter of effluents. In the recent years, new techniques such as: artificial neural networks and fuzzy inference system were employed for developing the predictive models to estimate Biochemical Oxygen Demand (BOD) of effluent. Soft computing techniques are now being used as alternate statistics tools. In this paper, use of ANFIS (Adaptive Neuro Fuzzy Inference System) for prediction of BOD of effluent from plastic industry was described and compared with traditional statistical model of MLR (Multiple Linear regressions). However, the accuracies of ANFIS and statistical models can be evaluated by calculating Average Percentage Error (APE), Worst Case Error (WE) and Chi squared value (χ²) with observed BOD values. The comparison of results showed that ANFIS is a good tool for predicting the BOD of the effluent.

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Article: Download PDF   DOI : 10.36106/ijar  

Cite This Article:

S.Akilandeswari, B.Kavitha / Bod from Plastic Industry � An Anfis Approach / Indian Journal of Applied Research, Vol.3, Issue.11 November 2013

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