PREDICTION OF WATER QUALITY INDICES BY REGRESSION ANALYSIS AND ARTIFICIAL NEURAL NETWORKS

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RENE E.R.; SAIDUTTA M.B.

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Journal Paper

Paper Information

Journal: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH (IJER) Year:2008 | Volume:2 | Issue:2 Page(s): 183-188

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Information Journal Paper

Title

PREDICTION OF WATER QUALITY INDICES BY REGRESSION ANALYSIS AND ARTIFICIAL NEURAL NETWORKS

Author(s)

RENE E.R. | SAIDUTTA M.B. | Issue Writer Certificate

Keywords

NEURAL NETWORKS

REGRESSION ANALYSIS

BOD

COD

PREDICTION

AVERAGE RELATIVE ERROR

Abstract

The quality of wastewater generated in any process industry is generally indicated by performance indices namely BOD, COD and TOC, expressed in mg/L. The use of TOC as an analytical parameter has become more common in recent years especially for the treatment of industrial wastewater. In this study, several empirical relationships were established between BOD and COD with TOC using REGRESSION ANALYSIS, so that TOC can be used to estimate the accompanying BOD or COD. A new, the use of Artificial NEURAL NETWORKS has been explored in this study to predict the concentrations of BOD and COD, well in advance using some easily measurable water quality indices. The total data points obtained from a refinery wastewater (143) were divided into a training set consisting of 103 data points, while the remaining 40 were used as the test data. A total of 12 different models (A1-A12) were tested using different combinations of network architecture. These models were evaluated using the % AVERAGE RELATIVE ERROR values of the test set. It was observed that three models gave accurate and reliable results, indicating the versatility of the developed models.

Cites

ARTIFICIAL NEURAL NETWORK MODELING OF AN INVERSE FLUIDIZED BED BIOREACTOR

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APA: Copy

RENE, E.R., & SAIDUTTA, M.B.. (2008). PREDICTION OF WATER QUALITY INDICES BY REGRESSION ANALYSIS AND ARTIFICIAL NEURAL NETWORKS. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH (IJER), 2(2), 183-188. SID. https://sid.ir/paper/300671/en

Vancouver: Copy

RENE E.R., SAIDUTTA M.B.. PREDICTION OF WATER QUALITY INDICES BY REGRESSION ANALYSIS AND ARTIFICIAL NEURAL NETWORKS. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH (IJER)[Internet]. 2008;2(2):183-188. Available from: https://sid.ir/paper/300671/en

IEEE: Copy

E.R. RENE, and M.B. SAIDUTTA, “PREDICTION OF WATER QUALITY INDICES BY REGRESSION ANALYSIS AND ARTIFICIAL NEURAL NETWORKS,” INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH (IJER), vol. 2, no. 2, pp. 183–188, 2008, [Online]. Available: https://sid.ir/paper/300671/en

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