Artificial neural network modeling of the water quality index for Kinta River (Malaysia) using water quality variables as predictors

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dc.contributor.authorNabeel M. Gazzaz
dc.contributor.authorMohd Kamil Yusoff
dc.contributor.authorAhmad Zaharin Aris
dc.contributor.authorHafizan Juahir
dc.contributor.authorMohammad Firuz Ramli
dc.coverage.publicationMalaysia
dc.date.accessioned2024-05-20T07:04:57Z
dc.date.available2024-05-20T07:04:57Z
dc.date.issued2012
dc.description.abstractThis article describes design and application of feed-forward, fully-connected, three-layer perceptron neural network model for computing the water quality index (WQI)1 for Kinta River (Malaysia).
dc.identifier.citationGazzaz, N. M., Yusoff, M. K., Aris, A. Z., Juahir, H., & Ramli, M. F. (2012). Artificial neural network modeling of the water quality index for Kinta River (Malaysia) using water quality variables as predictors. Marine pollution bulletin, 64(11), 2409-2420.
dc.identifier.urihttps://repoemc.ukm.my/handle/123456789/1612
dc.language.isoen
dc.publisherElsevier
dc.publisher.alternativeMarine Pollution Bulletin
dc.subjectSurface water
dc.subjectKinta River
dc.subjectWater quality index
dc.subjectArtificial neural network
dc.subjectThree-layer perceptron
dc.subjectQuickprop algorithm
dc.titleArtificial neural network modeling of the water quality index for Kinta River (Malaysia) using water quality variables as predictors
dc.typeJournal

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