An ANN Model for Predicting the Quantity of Lead and Cadmium Ions in Industrial Wastewater

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dc.contributor.authorOLAJUBU, EMMANUEL
dc.contributor.authorOKE, ADESOLA ISAIAH
dc.contributor.authorASAHIAH, FRANKLIN OLADIPO
dc.date.accessioned2023-05-13T16:14:41Z
dc.date.available2023-05-13T16:14:41Z
dc.date.issued2017-10
dc.descriptionTITLE:An ANN Model for Predicting the Quantity of Lead and Cadmium Ions in Industrial Wastewater VOLUME NO:9 ISSUE;4 OCT 2017 PAGES:16en_US
dc.description.abstractRapidindustrializationhascontributedimmenselytothedischargeofheavymetalsintoreceivingwater bodiesuntreated.Thequantityofheavymetalspredictioninindustrialwastewaterisveryessential beforetreatmentsothatthequantityispreciselyremoved.Thisarticleformulates,simulateandevaluate apredictivemodelthatmimicselectrochemicaltreatmentofleadandcadmiumionspresentinpaint industrialwastewaterusingartificialneuralnetwork.Thepredictivemodelwasformulatedusing FuzzyLogictoolboxinMATLABandthesimulationwasdoneintheenvironment.Theprediction ofthemodelwasevaluatedbycomparingthepredictedquantityofleadionsandcadmiumions withtheresultoftheexperimentalworkinthelaboratory.Thearticleconcludesthatthedeveloped predictionmodeldemonstratedveryhighpredictionaccuracyinpredictingthepercentageoflead andcadmiumionspresentinpaintswastewateren_US
dc.identifier.urihttps://ir.oauife.edu.ng/123456789/5188
dc.language.isoen_USen_US
dc.publisherIGI Globalen_US
dc.subjectCadmium Ions, Heavy Metals, Industrial Wastewater, Lead Ions, Paints Industryen_US
dc.titleAn ANN Model for Predicting the Quantity of Lead and Cadmium Ions in Industrial Wastewateren_US
dc.typeJournalen_US
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