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

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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