Prediction of Johor River Water Quality Parameters Using Artificial Neural Networks

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dc.contributor.authorAli Najah
dc.contributor.authorAhmed Elshafie
dc.contributor.authorOthman A. Karim
dc.contributor.authorOthman Jaffar
dc.coverage.publicationMalaysia
dc.date.accessioned2024-05-20T07:04:22Z
dc.date.available2024-05-20T07:04:22Z
dc.date.issued2009
dc.description.abstractArtificial Neural Network (ANN) captures the embedded spatial and unsteady behavior in the investigated problem using its architecture and nonlinearity nature compared with the other classical modeling techniques. Johor River Basin located in Johor state, Malaysia which is significantly degrading due to human activities as well as urbanization in and within the area. The present study attempted to predict water quality parameters at Johor River Basin utilizing ANN modeling. This study proposed a prediction model for total dissolved solids, electrical conductivity, and turbidity.
dc.identifier.citationNajah, A., Elshafie, A., Karim, O. A., & Jaffar, O. (2009). Prediction of Johor River water quality parameters using artificial neural networks. European Journal of scientific research, 28(3), 422-435.
dc.identifier.urihttps://repoemc.ukm.my/handle/123456789/1497
dc.language.isoma
dc.publisherEuroJournals Publishing, Inc.
dc.publisher.alternativeEuropean Journal of Scientific Research
dc.subjectWater quality prediction
dc.subjectJohor River Basin
dc.subjectartificial neural network
dc.titlePrediction of Johor River Water Quality Parameters Using Artificial Neural Networks
dc.typeJournal

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