Evaluation of multivariate linear regression and artificial neural networks in prediction of water quality parameters
نویسندگان
چکیده
منابع مشابه
Evaluation of multivariate linear regression and artificial neural networks in prediction of water quality parameters
This paper examined the efficiency of multivariate linear regression (MLR) and artificial neural network (ANN) models in prediction of two major water quality parameters in a wastewater treatment plant. Biochemical oxygen demand (BOD) and chemical oxygen demand (COD) as well as indirect indicators of organic matters are representative parameters for sewer water quality. Performance of the ANN m...
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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 analytica 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 an...
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ژورنال
عنوان ژورنال: Journal of Environmental Health Science and Engineering
سال: 2014
ISSN: 2052-336X
DOI: 10.1186/2052-336x-12-40