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Prediction of Water Quality Parameters Using Artificial Intelligence

 

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  • Product Description
 

Rapid urban development’s often witness deterioration of regional water quality. As part of the management process, it is important to assess the baseline characteristics of the river environment so that sustainable development can be pursued. The aim of this research is to develop a water quality prediction model in Johor River at two different stream flow level (main stream and tributary). Several modeling methods have been applied in this research including; Linear Regression Model (LRM), Multi Layer Perceptron (MLP) Neural Network and Radial Basis Function (RBF) Neural Network. In this study, the water quality parameters of interests are total dissolved solids, electrical conductivity and turbidity due to their importance when studying the water quality status of any rivers. Five years data for these three parameters have been obtained from Department of Environment (DOE). A comprehensive comparison analysis for the above modeling methods’ outputs have been carried out and discussed in order to achieve the appropriate model method and architecture for the current study.

Product Specifications
SKU :COC71743
AuthorAli Najah,Ahmed El-Shafie and Othman Karim
LanguageEnglish
BindingPaperback
Number of Pages56
Publishing Year2011-12-15T00:00:00.000
ISBN978-3847312031
Edition1 st
Book TypeIntegrated software packages
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-10-08 00:00:00
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